Sr. AI Platform Engineer (Developer Experience-agentic AI Solutions)

Location: Boston, MA (Can be remote)

Duration: 6+ Months Contract

TN

Video Interview

Job Description  

Looking for Sr. resources.   

Description:

Internal Developer Platform serves as a cornerstone for innovation, enabling Research & Development teams to efficiently build, deliver, and scale healthcare solutions. We are currently seeking a Senior Developer to join our AI Dev Tools & Solutions team. This position is dedicated to enhancing the developer experience through AI-driven automation, either by designing custom-built agents or implementing industry-leading AI tools.
The successful candidate will focus on developing AI Agents and the Model Context Protocol (MCP) servers to facilitate intelligent automation across our internal platform. Collaboration with cross-functional teams will be essential to expedite software delivery and advance the developer experience organization-wide. Responsibilities also include assessing market AI tools for potential integration and establishing frameworks to encourage effective adoption within Athena.
Key Responsibilities

• Implement agentic AI solutions to automate development workflows, emphasizing model validation, explainability, security, and ethical AI.
• Develop scalable MCP servers and clients to strengthen our AI infrastructure.
• Design and integrate AI-powered enhancements into the software development lifecycle (SDLC) to bolster code quality, security, and developer productivity.
• Establish and advocate best practices for prompt engineering in developer tools and editors.
• Evaluate and integrate emerging AI technologies, ensuring compliance with responsible AI principles and industry benchmarks.
• Collaborate with platform and product teams to incorporate AI capabilities into existing pipelines and toolchains.
• Maintain exemplary standards for code quality, maintainability, and performance.
• Lead and participate in code reviews to promote continuous improvement.
• Make strategic architectural decisions that balance scalability, performance, security, and the developer experience.
• Draft and maintain comprehensive technical documentation to facilitate onboarding, troubleshooting, and inter-team collaboration.
• Embed security best practices throughout the development lifecycle, including threat modelling and compliance assessments.

Qualifications & Experience

• Proven track record in developing and deploying agentic AI solutions for workflow automation.
• Proficiency with Agentic AI SDKs and familiarity with relevant frameworks.
• Advanced programming skills in one or more languages such as Python, Java, TypeScript, or JavaScript.
• Expertise in prompt engineering and in defining organizational standards for AI-assisted development.
• Experience with configuring and managing MCP servers and clients.
• History of integrating AI tools into the SDLC and evaluating their impact on productivity and quality.
• In-depth understanding of DevOps methodologies, DORA metrics, and developer productivity tools.
• Familiarity with Windsurf or similar agentic AI code editors is highly desirable.
• Exceptional problem-solving abilities and a proactive, ownership-oriented approach.
• Strong interpersonal and communication skills, facilitating effective collaboration across engineering, product, and platform divisions.