Mgr. Applied AI & Automation
Amgen
Mgr. Applied AI & Automation
Job Description
ABOUT AMGEN
What you will do
- Play a key role in building and leading a global team of Automation and DevOps engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
- Foster a culture of innovation, collaboration, accountability, and continuous learning in emerging AI and automation technologies.
- Oversee the development and lifecycle management of AI & automation solutions using (e.g., UiPath, Celonis, DocuSign, orchestration frameworks and workflow engines).
- Ensure solutions are secure, scalable, reliable, and aligned with enterprise architecture standards.
- Ensure regulatory and audit readiness in design, deployment, and monitoring of solutions.
- Drive DevOps solution engineering practices for platform and solutions availability, performance monitoring, incident management, and cost optimization of AI and automation services.
- Oversee the day-to-day management of automation solutions, ensuring that they meet performance, security, and availability requirements.
- Manage relationships with business partners, ensuring that service levels are met and that the organization derives the best value from its investments.
- Analyze customer feedback and support data to identify pain points and opportunities for service improvement.
- Evaluate emerging technologies and assess their potential impact on the enterprise/domain/automation/solution architecture.
- Provide leadership and engineering expertise along with delivery for end-to-end automations that span multiple systems and need enterprise architecture mindset.
- Evaluate and recommend technologies and tools that best fit the solution requirements.
- Establish and enforce data standards, governance policies, and best practices.
What we expect of you
- [GCF Level 5A] Any degree with 8 - 13 years of experience in Computer Science, IT or related field.
Must-Have Skills
- Expertise in Intelligent Automation with experience in automations tools like UiPath & Power Automate, GenAI Tools/LLMs and Agentic AI.
- Experience leading engineering teams and working in agile methodology, including Product Teams and Product Development models.
- Design Patterns: Extensive knowledge of common automation and AI design patterns and their application in software development.
- Technology Stack: Experience in a variety of programming languages like Python, automation and AI platforms like UiPath, Power Platform, SAP BTP, development frameworks, and Cloud Platforms like AWS.
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment.
- Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
- Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.
- Strong solution design and problem-solving skills.
- Experience in developing differentiated and deliverable solutions.
- Ability to analyze client requirements and translate them into solutions.
- Excellent critical-thinking and problem-solving skills.
- Strong communication and collaboration skills.
- Demonstrated awareness of how to function in a team setting.
- Demonstrated awareness of presentation skills.
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Expertise in Intelligent Automation with experience in automations tools like UiPath & Power Automate, GenAI Tools/LLMs and Agentic AI.intermediate
- Experience leading engineering teams and working in agile methodology, including Product Teams and Product Development models.intermediate
- Design Patterns: Extensive knowledge of common automation and AI design patterns and their application in software development.intermediate
- Technology Stack: Experience in a variety of programming languages like Python, automation and AI platforms like UiPath, Power Platform, SAP BTP, development frameworks, and Cloud Platforms like AWS.intermediate
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment.intermediate
- Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).intermediate
- Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.intermediate
- Strong solution design and problem-solving skills.intermediate
- Experience in developing differentiated and deliverable solutions.intermediate
- Ability to analyze client requirements and translate them into solutions.intermediate
- Excellent critical-thinking and problem-solving skills.intermediate
- Strong communication and collaboration skills.intermediate
- Demonstrated awareness of how to function in a team setting.intermediate
- Demonstrated awareness of presentation skills.intermediate
Required Qualifications
- [GCF Level 5A] Any degree with 8 - 13 years of experience in Computer Science, IT or related field. (experience)
Responsibilities
- Play a key role in building and leading a global team of Automation and DevOps engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
- Foster a culture of innovation, collaboration, accountability, and continuous learning in emerging AI and automation technologies.
- Oversee the development and lifecycle management of AI & automation solutions using (e.g., UiPath, Celonis, DocuSign, orchestration frameworks and workflow engines).
- Ensure solutions are secure, scalable, reliable, and aligned with enterprise architecture standards.
- Ensure regulatory and audit readiness in design, deployment, and monitoring of solutions.
- Drive DevOps solution engineering practices for platform and solutions availability, performance monitoring, incident management, and cost optimization of AI and automation services.
- Oversee the day-to-day management of automation solutions, ensuring that they meet performance, security, and availability requirements.
- Manage relationships with business partners, ensuring that service levels are met and that the organization derives the best value from its investments.
- Analyze customer feedback and support data to identify pain points and opportunities for service improvement.
- Evaluate emerging technologies and assess their potential impact on the enterprise/domain/automation/solution architecture.
- Provide leadership and engineering expertise along with delivery for end-to-end automations that span multiple systems and need enterprise architecture mindset.
- Evaluate and recommend technologies and tools that best fit the solution requirements.
- Establish and enforce data standards, governance policies, and best practices.
Tags & Categories
Mgr. Applied AI & Automation
Amgen
Mgr. Applied AI & Automation
Job Description
ABOUT AMGEN
What you will do
- Play a key role in building and leading a global team of Automation and DevOps engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
- Foster a culture of innovation, collaboration, accountability, and continuous learning in emerging AI and automation technologies.
- Oversee the development and lifecycle management of AI & automation solutions using (e.g., UiPath, Celonis, DocuSign, orchestration frameworks and workflow engines).
- Ensure solutions are secure, scalable, reliable, and aligned with enterprise architecture standards.
- Ensure regulatory and audit readiness in design, deployment, and monitoring of solutions.
- Drive DevOps solution engineering practices for platform and solutions availability, performance monitoring, incident management, and cost optimization of AI and automation services.
- Oversee the day-to-day management of automation solutions, ensuring that they meet performance, security, and availability requirements.
- Manage relationships with business partners, ensuring that service levels are met and that the organization derives the best value from its investments.
- Analyze customer feedback and support data to identify pain points and opportunities for service improvement.
- Evaluate emerging technologies and assess their potential impact on the enterprise/domain/automation/solution architecture.
- Provide leadership and engineering expertise along with delivery for end-to-end automations that span multiple systems and need enterprise architecture mindset.
- Evaluate and recommend technologies and tools that best fit the solution requirements.
- Establish and enforce data standards, governance policies, and best practices.
What we expect of you
- [GCF Level 5A] Any degree with 8 - 13 years of experience in Computer Science, IT or related field.
Must-Have Skills
- Expertise in Intelligent Automation with experience in automations tools like UiPath & Power Automate, GenAI Tools/LLMs and Agentic AI.
- Experience leading engineering teams and working in agile methodology, including Product Teams and Product Development models.
- Design Patterns: Extensive knowledge of common automation and AI design patterns and their application in software development.
- Technology Stack: Experience in a variety of programming languages like Python, automation and AI platforms like UiPath, Power Platform, SAP BTP, development frameworks, and Cloud Platforms like AWS.
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment.
- Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
- Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.
- Strong solution design and problem-solving skills.
- Experience in developing differentiated and deliverable solutions.
- Ability to analyze client requirements and translate them into solutions.
- Excellent critical-thinking and problem-solving skills.
- Strong communication and collaboration skills.
- Demonstrated awareness of how to function in a team setting.
- Demonstrated awareness of presentation skills.
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
80,000 - 120,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Expertise in Intelligent Automation with experience in automations tools like UiPath & Power Automate, GenAI Tools/LLMs and Agentic AI.intermediate
- Experience leading engineering teams and working in agile methodology, including Product Teams and Product Development models.intermediate
- Design Patterns: Extensive knowledge of common automation and AI design patterns and their application in software development.intermediate
- Technology Stack: Experience in a variety of programming languages like Python, automation and AI platforms like UiPath, Power Platform, SAP BTP, development frameworks, and Cloud Platforms like AWS.intermediate
- Experience directing solution design, business processes redesign and aligning business requirements to technical solutions in a regulated environment.intermediate
- Knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).intermediate
- Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.intermediate
- Strong solution design and problem-solving skills.intermediate
- Experience in developing differentiated and deliverable solutions.intermediate
- Ability to analyze client requirements and translate them into solutions.intermediate
- Excellent critical-thinking and problem-solving skills.intermediate
- Strong communication and collaboration skills.intermediate
- Demonstrated awareness of how to function in a team setting.intermediate
- Demonstrated awareness of presentation skills.intermediate
Required Qualifications
- [GCF Level 5A] Any degree with 8 - 13 years of experience in Computer Science, IT or related field. (experience)
Responsibilities
- Play a key role in building and leading a global team of Automation and DevOps engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
- Foster a culture of innovation, collaboration, accountability, and continuous learning in emerging AI and automation technologies.
- Oversee the development and lifecycle management of AI & automation solutions using (e.g., UiPath, Celonis, DocuSign, orchestration frameworks and workflow engines).
- Ensure solutions are secure, scalable, reliable, and aligned with enterprise architecture standards.
- Ensure regulatory and audit readiness in design, deployment, and monitoring of solutions.
- Drive DevOps solution engineering practices for platform and solutions availability, performance monitoring, incident management, and cost optimization of AI and automation services.
- Oversee the day-to-day management of automation solutions, ensuring that they meet performance, security, and availability requirements.
- Manage relationships with business partners, ensuring that service levels are met and that the organization derives the best value from its investments.
- Analyze customer feedback and support data to identify pain points and opportunities for service improvement.
- Evaluate emerging technologies and assess their potential impact on the enterprise/domain/automation/solution architecture.
- Provide leadership and engineering expertise along with delivery for end-to-end automations that span multiple systems and need enterprise architecture mindset.
- Evaluate and recommend technologies and tools that best fit the solution requirements.
- Establish and enforce data standards, governance policies, and best practices.
Tags & Categories