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Senior Manager, Software Engineering

Jones Lang LaSalle

Senior Manager, Software Engineering

full-timePosted: Jan 23, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Senior Software Engineering Manager - Agentic AI & Enterprise Applications - JLL Technologies (Bangalore)

What this job involves:

About the role

#JLLTechAmbitions

 

Job Description

This position will technically lead a development team to code scalable, reliable, maintainable, and secure applications with a focus on Agentic AI systems and enterprise solutions. You will plan, design and develop technical solutions and alternatives to meet business requirements in adherence with JLL standards, engineering principles, processes, and best practices. We are seeking an experienced engineering leader who combines deep technical expertise in Agentic AI with strong people management skills to drive innovation and deliver transformative AI-powered solutions.

 

What's it all about and what we expect you to do day to day?

Strategic Technical Leadership:

  • Provide technical direction and leadership to a cross-functional engineering team specializing in Agentic AI and Enterprise level application development

  • Cultivate a high-performance, innovation-driven culture

  • Lead by example with hands-on approaches that demonstrate engineering excellence in AI systems

Agentic AI Leadership:

  • Agentic AI Enablement: Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations—including multi-agent coordination, intelligent decision-making, and proactive remediation—across cloud and hybrid environments

Innovation & Integration:

  • Developer Tools Innovation: Lead the creation and integration of intelligent developer tools (e.g., code assistants, automated testing, observability integrations) to increase engineering productivity, metrics and software reliability

  • AI Orchestration & Event Automation: Implement and champion the adoption of AI orchestration tools to automate, monitor, and manage distributed agent workflows, data pipelines, and ML operations

 

Sounds like you? To apply you need to have:

  • Minimum 10 years of progressive experience in software engineering discipline, with at least 3 years in AI Engineering role

  • 4+ years of people management experience with managing team of seven plus individuals

  • Product engineering experience that demonstrates thought-leadership and cross-functional influence in AI and automation domains

 

Agentic AI Technical Expertise

Core AI/ML Competencies:

·       Agent-oriented programming, multi-agent system design, and agent orchestration frameworks, Delivering Agentic AI solutions in production 

·       Advanced proficiency with AI orchestration and workflow tooling 

 

Programming & Development:

·       Advanced proficiency in Python, and experience in building scalable AI agent and LLM/SLM system development

·       Deep understanding of React, .NET, and SQL for enterprise application development

 

 

 

Specialized AI Technologies:

·       Natural Language Processing (NLP): Hands-on experience with tokenization, entity recognition, text classification, semantic search, and conversational AI system design

·       Agentic AI & Orchestration: Demonstrated ability to design and build agent-based solutions, including agent workflow planning, multi-agent coordination, and memory management

 

Key Responsibilities

Team Leadership & Culture:

·       Be a great engineering leader for the team and broader organization, leading a highly talented, technically diverse team of engineers

·       Invest in people on your team, nurture them through coaching and caring

·       Foster a healthy and inclusive team environment focused on AI innovation

Strategic Program Management:

·       Program Management Rigor: Apply rigorous project management discipline—enforcing stage gates, entry/exit criteria, and structured feedback—to ensure high-quality delivery and continuous improvement across multiple parallel initiatives

·       Collaboration & Stakeholder Engagement: Partner closely with product counter parts, enterprise architecture, operations, and business leaders to ensure AI and automation initiatives are business-aligned, secure, and deliver tangible value

·       Establish strategic partnerships with vendors focused on GenAI, Agentic AI, and next-generation automation

 

Qualifications

Required Qualifications:

·       Master's in Computer application, AI/ML or related field

·       10+ years of IT infrastructure, Platform Engineering, with at least 3 years in AI Engineering role

·       4+ years of people management experience with managing team of seven plus individuals

·       Consistent track record of shipping compelling AI technologies across multiple product release cycles

·       Executive Ready communications skills with ability to present at VP and CXO level 

 

Preferred Qualifications:

·       Certification in AI and Agentic AI is huge plus

·       Experience in Microsoft .NET technologies (C# and .NET Framework)

·       Effective collaboration skills driving changes at scale in AI domains

·       Experience in Agile Development and implementation of it’s methodologies

 

Technical Skills & Competencies

Agentic AI & Advanced Technologies:

·       LangChain/CrewAI orchestration platforms

·       Multi-agent coordination, memory management, chain-of-thought prompting

·       Prompt engineering, RAG, model quantization

 

Enterprise Technologies:

·       React, .NET Framework, Python, JavaScript

·       SQL Server, Database Design and Optimization

·       ServiceNow, Jira, Azure DevOps Integration

·       Azure Cloud Services, ML Pipelines

·       GitHub, CI/CD Pipelines, DevOps Methodologies

 

 

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.

 

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

60,000,000 - 120,000,000 INR / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agent-oriented programmingintermediate
  • Multi-agent system designintermediate
  • Agent orchestration frameworksintermediate
  • AI orchestration and workflow toolingintermediate
  • Pythonintermediate
  • Scalable AI agent developmentintermediate
  • LLM/SLM system developmentintermediate
  • Reactintermediate
  • .NETintermediate
  • SQLintermediate
  • Natural Language Processing (NLP)intermediate
  • Tokenizationintermediate
  • Entity recognitionintermediate
  • Text classificationintermediate
  • Semantic searchintermediate
  • Conversational AIintermediate
  • Agent workflow planningintermediate
  • Multi-agent coordinationintermediate
  • Memory managementintermediate

Required Qualifications

  • Minimum 10 years of progressive experience in software engineering discipline, with at least 3 years in AI Engineering role (experience)
  • 4+ years of people management experience with managing team of seven plus individuals (experience)
  • Product engineering experience that demonstrates thought-leadership and cross-functional influence in AI and automation domains (experience)
  • Agent-oriented programming, multi-agent system design, and agent orchestration frameworks (experience)
  • Delivering Agentic AI solutions in production (experience)
  • Advanced proficiency with AI orchestration and workflow tooling (experience)
  • Advanced proficiency in Python, and experience in building scalable AI agent and LLM/SLM system development (experience)
  • Deep understanding of React, .NET, and SQL for enterprise application development (experience)
  • Natural Language Processing (NLP): Hands-on experience with tokenization, entity recognition, text classification, semantic search, and conversational AI system design (experience)
  • Agentic AI & Orchestration: Demonstrated ability to design and build agent-based solutions, including agent workflow planning, multi-agent coordination, and memory management (experience)

Responsibilities

  • Provide technical direction and leadership to a cross-functional engineering team specializing in Agentic AI and Enterprise level application development
  • Cultivate a high-performance, innovation-driven culture
  • Lead by example with hands-on approaches that demonstrate engineering excellence in AI systems
  • Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations—including multi-agent coordination, intelligent decision-making, and proactive remediation—across cloud and hybrid environments
  • Lead the creation and integration of intelligent developer tools (e.g., code assistants, automated testing, observability integrations) to increase engineering productivity, metrics and software reliability
  • Implement and champion the adoption of AI orchestration tools to automate, monitor, and manage distributed agent workflows, data pipelines, and ML operations
  • Be a great engineering leader for the team and broader organization, leading a highly talented, technically diverse team of engineers
  • Invest in people on your team, nurture them through coaching and caring

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Jones Lang LaSalle logo

Senior Manager, Software Engineering

Jones Lang LaSalle

Senior Manager, Software Engineering

full-timePosted: Jan 23, 2026

Job Description

JLL empowers you to shape a brighter way.  

Our people at JLL and JLL Technologies are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people  and empowering them to  thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

Senior Software Engineering Manager - Agentic AI & Enterprise Applications - JLL Technologies (Bangalore)

What this job involves:

About the role

#JLLTechAmbitions

 

Job Description

This position will technically lead a development team to code scalable, reliable, maintainable, and secure applications with a focus on Agentic AI systems and enterprise solutions. You will plan, design and develop technical solutions and alternatives to meet business requirements in adherence with JLL standards, engineering principles, processes, and best practices. We are seeking an experienced engineering leader who combines deep technical expertise in Agentic AI with strong people management skills to drive innovation and deliver transformative AI-powered solutions.

 

What's it all about and what we expect you to do day to day?

Strategic Technical Leadership:

  • Provide technical direction and leadership to a cross-functional engineering team specializing in Agentic AI and Enterprise level application development

  • Cultivate a high-performance, innovation-driven culture

  • Lead by example with hands-on approaches that demonstrate engineering excellence in AI systems

Agentic AI Leadership:

  • Agentic AI Enablement: Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations—including multi-agent coordination, intelligent decision-making, and proactive remediation—across cloud and hybrid environments

Innovation & Integration:

  • Developer Tools Innovation: Lead the creation and integration of intelligent developer tools (e.g., code assistants, automated testing, observability integrations) to increase engineering productivity, metrics and software reliability

  • AI Orchestration & Event Automation: Implement and champion the adoption of AI orchestration tools to automate, monitor, and manage distributed agent workflows, data pipelines, and ML operations

 

Sounds like you? To apply you need to have:

  • Minimum 10 years of progressive experience in software engineering discipline, with at least 3 years in AI Engineering role

  • 4+ years of people management experience with managing team of seven plus individuals

  • Product engineering experience that demonstrates thought-leadership and cross-functional influence in AI and automation domains

 

Agentic AI Technical Expertise

Core AI/ML Competencies:

·       Agent-oriented programming, multi-agent system design, and agent orchestration frameworks, Delivering Agentic AI solutions in production 

·       Advanced proficiency with AI orchestration and workflow tooling 

 

Programming & Development:

·       Advanced proficiency in Python, and experience in building scalable AI agent and LLM/SLM system development

·       Deep understanding of React, .NET, and SQL for enterprise application development

 

 

 

Specialized AI Technologies:

·       Natural Language Processing (NLP): Hands-on experience with tokenization, entity recognition, text classification, semantic search, and conversational AI system design

·       Agentic AI & Orchestration: Demonstrated ability to design and build agent-based solutions, including agent workflow planning, multi-agent coordination, and memory management

 

Key Responsibilities

Team Leadership & Culture:

·       Be a great engineering leader for the team and broader organization, leading a highly talented, technically diverse team of engineers

·       Invest in people on your team, nurture them through coaching and caring

·       Foster a healthy and inclusive team environment focused on AI innovation

Strategic Program Management:

·       Program Management Rigor: Apply rigorous project management discipline—enforcing stage gates, entry/exit criteria, and structured feedback—to ensure high-quality delivery and continuous improvement across multiple parallel initiatives

·       Collaboration & Stakeholder Engagement: Partner closely with product counter parts, enterprise architecture, operations, and business leaders to ensure AI and automation initiatives are business-aligned, secure, and deliver tangible value

·       Establish strategic partnerships with vendors focused on GenAI, Agentic AI, and next-generation automation

 

Qualifications

Required Qualifications:

·       Master's in Computer application, AI/ML or related field

·       10+ years of IT infrastructure, Platform Engineering, with at least 3 years in AI Engineering role

·       4+ years of people management experience with managing team of seven plus individuals

·       Consistent track record of shipping compelling AI technologies across multiple product release cycles

·       Executive Ready communications skills with ability to present at VP and CXO level 

 

Preferred Qualifications:

·       Certification in AI and Agentic AI is huge plus

·       Experience in Microsoft .NET technologies (C# and .NET Framework)

·       Effective collaboration skills driving changes at scale in AI domains

·       Experience in Agile Development and implementation of it’s methodologies

 

Technical Skills & Competencies

Agentic AI & Advanced Technologies:

·       LangChain/CrewAI orchestration platforms

·       Multi-agent coordination, memory management, chain-of-thought prompting

·       Prompt engineering, RAG, model quantization

 

Enterprise Technologies:

·       React, .NET Framework, Python, JavaScript

·       SQL Server, Database Design and Optimization

·       ServiceNow, Jira, Azure DevOps Integration

·       Azure Cloud Services, ML Pipelines

·       GitHub, CI/CD Pipelines, DevOps Methodologies

 

 

What we can do for you:

At JLL, we make sure that you become the best version of yourself by helping you realise your full potential in a fully entrepreneurial and inclusive work environment. If you harbour passion for learning and adapting new technologies, JLL will continuously provide you with platforms to enrich your technical domains.  We will empower your ambitions through our dedicated Total Rewards Program, competitive pay and benefits package. It’s no surprise that JLL has been recognized by the Ethisphere Institute as one of the 2019 World’s Most Ethical Companies for the 12th consecutive year.

 

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

40

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

JLL Privacy Notice

Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.

For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.

For additional details please see our career site pages for each country.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities.  If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Locations

  • Bengaluru, Karnataka, India

Salary

Estimated Salary Rangemedium confidence

60,000,000 - 120,000,000 INR / yearly

Source: AI Estimation

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Agent-oriented programmingintermediate
  • Multi-agent system designintermediate
  • Agent orchestration frameworksintermediate
  • AI orchestration and workflow toolingintermediate
  • Pythonintermediate
  • Scalable AI agent developmentintermediate
  • LLM/SLM system developmentintermediate
  • Reactintermediate
  • .NETintermediate
  • SQLintermediate
  • Natural Language Processing (NLP)intermediate
  • Tokenizationintermediate
  • Entity recognitionintermediate
  • Text classificationintermediate
  • Semantic searchintermediate
  • Conversational AIintermediate
  • Agent workflow planningintermediate
  • Multi-agent coordinationintermediate
  • Memory managementintermediate

Required Qualifications

  • Minimum 10 years of progressive experience in software engineering discipline, with at least 3 years in AI Engineering role (experience)
  • 4+ years of people management experience with managing team of seven plus individuals (experience)
  • Product engineering experience that demonstrates thought-leadership and cross-functional influence in AI and automation domains (experience)
  • Agent-oriented programming, multi-agent system design, and agent orchestration frameworks (experience)
  • Delivering Agentic AI solutions in production (experience)
  • Advanced proficiency with AI orchestration and workflow tooling (experience)
  • Advanced proficiency in Python, and experience in building scalable AI agent and LLM/SLM system development (experience)
  • Deep understanding of React, .NET, and SQL for enterprise application development (experience)
  • Natural Language Processing (NLP): Hands-on experience with tokenization, entity recognition, text classification, semantic search, and conversational AI system design (experience)
  • Agentic AI & Orchestration: Demonstrated ability to design and build agent-based solutions, including agent workflow planning, multi-agent coordination, and memory management (experience)

Responsibilities

  • Provide technical direction and leadership to a cross-functional engineering team specializing in Agentic AI and Enterprise level application development
  • Cultivate a high-performance, innovation-driven culture
  • Lead by example with hands-on approaches that demonstrate engineering excellence in AI systems
  • Architect, deploy, and scale Agentic AI systems that perform adaptive, autonomous operations—including multi-agent coordination, intelligent decision-making, and proactive remediation—across cloud and hybrid environments
  • Lead the creation and integration of intelligent developer tools (e.g., code assistants, automated testing, observability integrations) to increase engineering productivity, metrics and software reliability
  • Implement and champion the adoption of AI orchestration tools to automate, monitor, and manage distributed agent workflows, data pipelines, and ML operations
  • Be a great engineering leader for the team and broader organization, leading a highly talented, technically diverse team of engineers
  • Invest in people on your team, nurture them through coaching and caring

Target Your Resume for "Senior Manager, Software Engineering" , Jones Lang LaSalle

Get personalized recommendations to optimize your resume specifically for Senior Manager, Software Engineering. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior Manager, Software Engineering" , Jones Lang LaSalle

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

REQ478686jllcareers

Answer 10 quick questions to check your fit for Senior Manager, Software Engineering @ Jones Lang LaSalle.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.