AI Engineer
for section headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We should only include sections that have real content. So we will have: - About the role (the paragraph) - Responsibilities (What You'll Do) - Requirements (What You'll Bring) maybe also include Minimum Education Requirements as part of Requirements. - Qualifications? Could combine with Requirements? But we have separate "What Will Make You Stand Out" maybe as Skills or Qualifications. The instruction: Use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can map: About the role -> About The Role paragraph. Responsibilities -> What You'll Do. Requirements -> What You'll Bring (including education, experience). Qualifications -> Minimum Education Requirements? Or maybe we treat Minimum Education Requirements as Qualifications. Could also treat "What Will Make You Stand Out" as Skills. Skills -> What Will Make You Stand Out. Benefits -> benefits statement. Pay -> Salary Range. Schedule -> Time Type (Full time) and Location? Location maybe not a heading; we could put location in a short paragraph under About the role? But instruction: include a section ONLY when posting has real, specific content for it. Location is specific content; but there is no heading for Location in list. Could we put location under About the role? Probably better to include a short paragraph after About the role? But we must not invent headings not in list. Could we add a
with location and time type? The instruction says we can use
for prose. So we could include a paragraph after About the role that includes Location and Time Type. However we also have Pay and Schedule sections. Schedule could be Time Type (Full time). Location maybe not a heading; we could embed in About the role paragraph or a separate
. Let's embed location and time type in a short paragraph after About the role. Pay section: Salary Range. Benefits section: benefits statement. Now we need to output only HTML fragment, no /, no markdown fences. We need to use
- for any list of duties/requirements/benefits. For Benefits we have a list of benefits: paid time off, medical/dental/vision insurance, 401(k), suite of well-being benefits. Could be a list.
For Responsibilities: list of duties.
For Requirements: list of items (education, experience, etc). Could be list.
For Skills: list of standout items.
Now we need to ensure we don't include filler like "commensurate with experience". Not present.
Now let's extract content.
About The Role paragraph: "Blue Cross Blue Shield of Massachusetts is looking for an AI Engineer to guide one or more of our high-performing AI engineering teams. In this role, you will be a hands-on leader, combining deep technical expertise with strong mentorship skills to drive the development of our cutting-edge agentic AI framework. You will be responsible for the technical direction, delivery, and quality of your team's work, ensuring that our AI solutions are well-architected, scalable, and robust. This is a critical role for a highly experienced AI engineer who is passionate about building innovative solutions and mentoring a team of talented engineers. You will be at the heart of our AI initiatives, ensuring that we maintain engineering excellence while delivering impactful products. This role is eligible for our Flex Persona for candidates local to our Boston, MA office."
We could keep that as
. Now Responsibilities (What You'll Do) list: - Provide Technical Leadership: Guide and mentor a team of AI Engineers, ensuring adherence to architectural best practices, coding standards, and engineering excellence. - Oversee Solution Design: Lead the detailed technical design and implementation of complex AI agent components, Generative AI integrations, and the underlying infrastructure. - Drive Team Delivery: Collaborate closely with Product Owners to refine technical requirements, estimate efforts, and ensure the timely and high-quality delivery of AI features. - Ensure Code Quality: Establish and enforce rigorous code review processes to ensure code quality, security, and maintainability. - Solve Complex Technical Problems: Serve as the primary technical escalation point for your team, troubleshooting complex issues and guiding resolutions. - Mentor and Develop Talent: Actively coach and mentor AI Engineers, helping them grow their technical skills and understanding of agentic architectures. - Evaluate New Technologies: Assess new tools, libraries, and frameworks that can improve your team's efficiency and capabilities. We need to keep each as
- .
Now Requirements (What You'll Bring) list:
- A Bachelor's degree in Computer Science, Technology, or a related field.
- 1-3+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- 1+ years of hands-on expertise in developing agentic solutions, with strong knowledge of cloud services (AWS, Azure, Google Cloud) and MLOps tools (like Docker and Kubernetes).
- Proven experience overseeing the technical design and implementation of complex AI agent components.
- Hands-on experience designing and developing AI agents that leverage Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
- Proven expertise in managing the performance, scalability, and reliability of AI models in production.
- Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Demonstrated experience conducting code reviews, leading knowledge-sharing sessions, and making critical decisions on technologies and frameworks.
Also Minimum Education Requirements: "High school degree or equivalent required unless otherwise noted above". This is a requirement but seems lower than Bachelor's? Actually they say high school degree or equivalent required unless otherwise noted above. Since they already require Bachelor's, we can keep this as a separate line maybe but it's redundant. We'll include it as part of Requirements.
Now Skills (What Will Make You Stand Out) list:
- Experience in Linux/Unix scripting.
- Experience working with multiple cloud platforms (AWS, GCP, Azure).
- Solution Architect Associate certifications, preferably in GCP or AWS.
Now Benefits: "We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees."
We can make a list: paid time off, medical/dental/vision insurance, 401(k), suite of well-being benefits.
Now Pay: Salary Range: "$140,310.00 - $171,490.00". Also note about variable pay etc but that's boilerplate; we should not include legal note. So just the range.
Now Schedule: Time Type: Full time. Also maybe location? We'll put location and time type in a paragraph after About the role.
We need to avoid repeating job title. Not needed.
Now produce HTML:
About the role
Blue Cross Blue Shield of Massachusetts is looking for an AI Engineer to guide one or more of our high-performing AI engineering teams. In this role, you will be a hands-on leader, combining deep technical expertise with strong mentorship skills to drive the development of our cutting-edge agentic AI framework. You will be responsible for the technical direction, delivery, and quality of your team's work, ensuring that our AI solutions are well-architected, scalable, and robust. This is a critical role for a highly experienced AI engineer who is passionate about building innovative solutions and mentoring a team of talented engineers. You will be at the heart of our AI initiatives, ensuring that we maintain engineering excellence while delivering impactful products. This role is eligible for our Flex Persona for candidates local to our Boston, MA office.
Location: Boston, MA. Time Type: Full time.
Responsibilities
- Provide Technical Leadership: Guide and mentor a team of AI Engineers, ensuring adherence to architectural best practices, coding standards, and engineering excellence.
- Oversee Solution Design: Lead the detailed technical design and implementation of complex AI agent components, Generative AI integrations, and the underlying infrastructure.
- Drive Team Delivery: Collaborate closely with Product Owners to refine technical requirements, estimate efforts, and ensure the timely and high-quality delivery of AI features.
- Ensure Code Quality: Establish and enforce rigorous code review processes to ensure code quality, security, and maintainability.
- Solve Complex Technical Problems: Serve as the primary technical escalation point for your team, troubleshooting complex issues and guiding resolutions.
- Mentor and Develop Talent: Actively coach and mentor AI Engineers, helping them grow their technical skills and understanding of agentic architectures.
- Evaluate New Technologies: Assess new tools, libraries, and frameworks that can improve your team's efficiency and capabilities.
Requirements
- A Bachelor's degree in Computer Science, Technology, or a related field.
- 1-3+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- 1+ years of hands-on expertise in developing agentic solutions, with strong knowledge of cloud services (AWS, Azure, Google Cloud) and MLOps tools (like Docker and Kubernetes).
- Proven experience overseeing the technical design and implementation of complex AI agent components.
- Hands-on experience designing and developing AI agents that leverage Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques.
- Proven expertise in managing the performance, scalability, and reliability of AI models in production.
- Excellent communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Demonstrated experience conducting code reviews, leading knowledge-sharing sessions, and making critical decisions on technologies and frameworks.
- High school degree or equivalent required unless otherwise noted above.
Skills
- Experience in Linux/Unix scripting.
- Experience working with multiple cloud platforms (AWS, GCP, Azure).
- Solution Architect Associate certifications, preferably in GCP or AWS.
Benefits
- Paid time off
- Medical/dental/vision insurance
- 401(k)
- Suite of well-being benefits
Pay
Salary Range: $140,310.00 - $171,4