Senior Forward Deployed Engineer, AI (Remote)
Atlassian
Senior Forward Deployed Engineer, AI (Remote)
Job Description
Senior Forward Deployed Engineer, AI (Remote)
📋 Job Overview
As a Senior Forward Deployed Engineer at Atlassian, you will lead the design, development, and deployment of AI/ML-powered solutions for customers, working closely with cross-functional teams to deliver innovative AI solutions. This high-visibility role involves navigating complex problems and aligning technical solutions with business objectives to drive tangible business outcomes.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-12-03 06:25 PM
🎯 Key Responsibilities
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
- Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in backend software development
- 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
- Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
⭐ Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features
- Familiarity with regulated industries (e.g., finance, healthcare)
- Experience deploying AI solutions to complex production systems at scale
- Prior experience mentoring or leading engineering teams
🛠️ Required Skills
- TensorFlow
- PyTorch
- LangChain
- LlamaIndex
- Python
- JavaScript
- APIs
- Microservices
- Enterprise-scale systems
- Data analysis
- AI-augmented workflow automation
- Production deployment
- Monitoring
- AI risk assessment
- Data privacy
- GDPR
- Mentoring
- Communication
- Collaboration
- Strategic thinking
- Innovative thinking
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- TensorFlowintermediate
- PyTorchintermediate
- LangChainintermediate
- LlamaIndexintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- Microservicesintermediate
- Enterprise-scale systemsintermediate
- Data analysisintermediate
- AI-augmented workflow automationintermediate
- Production deploymentintermediate
- Monitoringintermediate
- AI risk assessmentintermediate
- Data privacyintermediate
- GDPRintermediate
- Mentoringintermediate
- Communicationintermediate
- Collaborationintermediate
- Strategic thinkingintermediate
- Innovative thinkingintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (experience)
- 5+ years of experience in backend software development (experience)
- 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development (experience)
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks (experience)
- Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments (experience)
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority (experience)
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR) (experience)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals (experience)
Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features (experience)
- Familiarity with regulated industries (e.g., finance, healthcare) (experience)
- Experience deploying AI solutions to complex production systems at scale (experience)
- Prior experience mentoring or leading engineering teams (experience)
Responsibilities
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
- Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories
Senior Forward Deployed Engineer, AI (Remote)
Atlassian
Senior Forward Deployed Engineer, AI (Remote)
Job Description
Senior Forward Deployed Engineer, AI (Remote)
📋 Job Overview
As a Senior Forward Deployed Engineer at Atlassian, you will lead the design, development, and deployment of AI/ML-powered solutions for customers, working closely with cross-functional teams to deliver innovative AI solutions. This high-visibility role involves navigating complex problems and aligning technical solutions with business objectives to drive tangible business outcomes.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-12-03 06:25 PM
🎯 Key Responsibilities
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
- Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
✅ Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field
- 5+ years of experience in backend software development
- 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks
- Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals
⭐ Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features
- Familiarity with regulated industries (e.g., finance, healthcare)
- Experience deploying AI solutions to complex production systems at scale
- Prior experience mentoring or leading engineering teams
🛠️ Required Skills
- TensorFlow
- PyTorch
- LangChain
- LlamaIndex
- Python
- JavaScript
- APIs
- Microservices
- Enterprise-scale systems
- Data analysis
- AI-augmented workflow automation
- Production deployment
- Monitoring
- AI risk assessment
- Data privacy
- GDPR
- Mentoring
- Communication
- Collaboration
- Strategic thinking
- Innovative thinking
🎁 Benefits & Perks
- Health and wellbeing resources
- Paid volunteer days
- Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
180,000 - 250,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- TensorFlowintermediate
- PyTorchintermediate
- LangChainintermediate
- LlamaIndexintermediate
- Pythonintermediate
- JavaScriptintermediate
- APIsintermediate
- Microservicesintermediate
- Enterprise-scale systemsintermediate
- Data analysisintermediate
- AI-augmented workflow automationintermediate
- Production deploymentintermediate
- Monitoringintermediate
- AI risk assessmentintermediate
- Data privacyintermediate
- GDPRintermediate
- Mentoringintermediate
- Communicationintermediate
- Collaborationintermediate
- Strategic thinkingintermediate
- Innovative thinkingintermediate
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (experience)
- 5+ years of experience in backend software development (experience)
- 3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development (experience)
- Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks (experience)
- Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration (experience)
- Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments (experience)
- Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority (experience)
- Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR) (experience)
- Strategic and innovative thinking, with a track record of aligning technical solutions to business goals (experience)
Preferred Qualifications
- Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features (experience)
- Familiarity with regulated industries (e.g., finance, healthcare) (experience)
- Experience deploying AI solutions to complex production systems at scale (experience)
- Prior experience mentoring or leading engineering teams (experience)
Responsibilities
- Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex)
- Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems
- Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction
- Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency
- Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement
- Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks
- Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning
- Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership
- Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results
Benefits
- general: Health and wellbeing resources
- general: Paid volunteer days
- general: Wide range of perks and benefits designed to support you, your family and to help you engage with your local community
Tags & Categories