Principal Forward Deployed Engineer
Atlassian
Principal Forward Deployed Engineer
Job Description
Principal Forward Deployed Engineer
📋 Job Overview
As a Principal Forward Deployed Engineer at Atlassian, you will lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs. You'll work directly with customers and cross-functional teams to deliver innovative, AI-powered solutions, making a tangible impact on business outcomes in a high-visibility, high-impact role.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-10-13 06:30 AM
🎯 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
- 12+ years of experience in backend software development, with at least 5 years in a principal/staff-level role
- 5+ 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
- regulatory frameworks
- mentoring
- communication
- collaboration
- strategic thinking
- innovative thinking
🎁 Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
200,000 - 300,000 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
- regulatory frameworksintermediate
- 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)
- 12+ years of experience in backend software development, with at least 5 years in a principal/staff-level role (experience)
- 5+ 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 coverage
- general: paid volunteer days
- general: wellness resources
Tags & Categories
Principal Forward Deployed Engineer
Atlassian
Principal Forward Deployed Engineer
Job Description
Principal Forward Deployed Engineer
📋 Job Overview
As a Principal Forward Deployed Engineer at Atlassian, you will lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs. You'll work directly with customers and cross-functional teams to deliver innovative, AI-powered solutions, making a tangible impact on business outcomes in a high-visibility, high-impact role.
📍 Location: San Francisco, United States
🏢 Category: Engineering
📅 Posted: 2025-10-13 06:30 AM
🎯 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
- 12+ years of experience in backend software development, with at least 5 years in a principal/staff-level role
- 5+ 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
- regulatory frameworks
- mentoring
- communication
- collaboration
- strategic thinking
- innovative thinking
🎁 Benefits & Perks
- health coverage
- paid volunteer days
- wellness resources
Locations
- San Francisco, United States
Salary
Estimated Salary Rangemedium confidence
200,000 - 300,000 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
- regulatory frameworksintermediate
- 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)
- 12+ years of experience in backend software development, with at least 5 years in a principal/staff-level role (experience)
- 5+ 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 coverage
- general: paid volunteer days
- general: wellness resources
Tags & Categories