Senior AI Application Developer

Beth Israel Lahey Health, Inc.; United States; On-site; USD 118,000 - 160,000; Full time

Job summary

Beth Israel Lahey Health, Inc. is seeking a Senior AI Application Developer to design, develop, and support AI-enabled applications across web, mobile, and cloud platforms. You will build scalable AI agents, automate data workflows, and modernize legacy Java/.NET systems.

The role emphasizes collaboration with product, data, and cloud teams, POC leadership, and strong engineering practices in secure, scalable cloud environments.

Qualifications

• Bachelor's degree in computer science, IT, or related field required.
• 5+ years of software engineering experience; 3–5+ years building cloud-native and AI-enabled applications.
• 1+ year of technical leadership experience (mentoring, leading projects, guiding architecture).

Responsibilities

• Designs, develops, tests, and supports AI-enabled applications, cloud-native APIs, microservices, and automation workflows.
• Collaborates with product, data engineering, cloud engineering, and clinical/operational stakeholders to align features with business goals.
• Leads PoCs to evaluate AI models and cloud services, guiding architecture decisions.
• Mentors junior developers and participates in code reviews to ensure secure, scalable solutions.
• Provides on-call support and incident response for AI and cloud workloads.

Skills

Cloud environments

AI/GenAI solutions

APIs & Microservices

DevOps & automation

Security by design & cloud security

Cross-functional collaboration

Windows & Linux hybrid operations

Education

Bachelor's degree in computer science / IT or related field

Tools

Azure DevOps

AWS Bedrock

Kubernetes

Job description

When you join the growing BILH team, you're not just taking a job, you’re making a difference in people’s lives. The Senior AI Application Developer is responsible for designing, developing, testing, and supporting modern software solutions that leverage AI, web, mobile, and distributed microservices technologies, as well as cloud platforms. This role focuses on building advanced AI‑enabled applications, intelligent agents, automated data processing workflows, and maintaining or modernizing legacy applications built in Java and .NET. The role also requires providing effective peer support, mentorship, and collaboration across development teams to troubleshoot complex issues and promote best practices in AI application development.

Essential Duties & Responsibilities

1. Leverages expertise in AI application development, cloud-native architectures, modern web frameworks, and secure development practices to deliver scalable, reliable, and secure enterprise solutions.
2. Designs, develops, and integrates AI‑enabled applications, cloud‑based APIs, microservices, automation workflows, and data services across hybrid and cloud‑native environments (Azure, AWS and GCP).
3. Leads the design and implementation of proof‑of‑concepts (POCs) to evaluate emerging AI models, cloud services, and automation technologies, providing recommendations that guide technology adoption and architecture decisions.
4. Collaborates with cross‑functional teams including product, data engineering, cloud engineering, and clinical/operational stakeholders to design and deliver cloud native, AI‑augmented application features aligned with business goals.
5. Participates in gathering, analyzing, refining, and validating technical and functional requirements, ensuring alignment between business objectives, technical feasibility, and AI responsible use principles.
6. Creates development estimates, plans, and schedules to support predictable delivery and meet project deadlines.
7. Troubleshoots and debugs modern web, cloud, and AI‑enabled applications; ensure code quality; and maintain clear, up‑to‑date documentation for application, data, and cloud components.
8. Provides mentorship and technical guidance to junior developers, promoting strong engineering practices in AI agent integration, cloud services, microservice architecture, and application development.
9. Collaborates in code reviews and architecture discussions to ensure solutions are secure, scalable, and operationally reliable.
10. Provides operational and on‑call support for critical applications, ensuring system reliability, monitoring, incident response, and continuous improvement across AI and cloud workloads.

Minimum Qualifications

• Education: Bachelor's degree in computer science, Information Technology, or related field required.
• Licensure, Certification & Registration: N/A
• Experience: 5+ years of relevant professional experience in software engineering or related technical fields. 3–5+ years of hands‑on software development experience, including building cloud‑native and AI‑enabled applications. 1+ years of technical leadership experience, such a s mentoring developers, leading small project teams, or guiding architecture decisions.

Skills, Knowledge & Abilities

• Strong hands‑on experience designing, building, and deploying applications in cloud environments (AWS, Azure, or GCP), including computing, storage, networking, identity, and security services.
• Practical expertise integrating or developing AI/GenAI solutions, including use of cloud AI services, LLM‑based capabilities, AI agents, or machine learning assisted features.
• Advanced programming and systems skills, with experience building APIs, automation workflows, microservices, and high‑performance application components.
• Deep understanding of secure by design and cloud security best practices, including identity management, encryption, secrets management, and compliance considerations.
• Operational leadership experience, including monitoring, observability, incident response, performance tuning, and reliability engineering for cloud and AI‑enabled applications.
• Strong familiarity with DevOps and platform engineering practices, such as Git workflows, CI/CD pipelines, infrastructure as code, automated testing, and container orchestration.
• Experience working across hybrid Windows and Linux environments, including automated deployments, system troubleshooting, and cloud‑integrated operations.

Preferred Qualifications & Skills

• Knowledge with Microsoft Power Platform, Azure DevOps, and AWS Bedrock for building, integrating, and automating cloud‑based and AI‑enabled solutions.
• Knowledge of containerization and orchestration technologies such as AWS ECS and Kubernetes.
• Knowledge of deploying, monitoring, and operating AI applications in production environments.

Pay Range: $118,000.00 USD - $160,000.00 USD The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.

As a health care organization, we have a responsibility to do everything in our power to care for and protect our patients, our colleagues and our communities.

Beth Israel Lahey Health requires that all staff be vaccinated against influenza (flu) as a condition of employment.

More than 35,000 people working together.

Nurses, doctors, technicians, therapists, researchers, teachers and more, making a difference in patients' lives.

Equal Opportunity Employer/Veterans/Disabled At Beth Israel Lahey Health, we are driving the change in health care that Massachusetts wants and needs. Our culture promotes continuous learning, growth, innovation and a sense of belonging. We make it a priority to offer comprehensive compensation and benefits and help you achieve a healthy and balanced life. While you're busy caring for and supporting our patients, we take care of you.