Senior Application Engineer Seattle Dexter - WA - US R1602672

Position: Senior Application Engineer Seattle 400 Dexter - WA - US + 3 more R1602672
## Senior Application Engineer Seattle 400 Dexter - WA - US
* Design, build, and operate backend services, APIs, and application components that power AI Accelerator products.
* Develop Python/FastAPI, Type Script/Node, or similar services that integrate LLM APIs, retrieval systems, workflow engines, and internal enterprise systems.
* Execute AI Accelerator cycles of six two-week sprints over a 12-week cycle by developing, testing, and validating cloud and agentic AI product increments.
* Develop MCP-accessible services that allow approved agents to read, write, search, and maintain structured (e.g. markdown/YAML) knowledge assets.
* Build MCP/FastMCP read-write-search APIs, permissioned knowledge stores, version control, audit trails, access controls, and integrations with AWS-native storage and identity patterns.
* Implement secure application patterns for authn/authz, BMS SSO, BMS Cloud Creds, secrets management, auditability, input validation, and safe service boundaries.
* Partner with frontend engineers to define clean API contracts, streaming response patterns, error handling, and service-level behaviors for AI-powered user experiences.
* Bachelor's or higher degree in Computer Science, Engineering, Science, or a related field.
* 5+ years of experience in software engineering, cloud engineering, platform engineering, or backend application development with increasing responsibility.
* Hands-on experience building cloud-native applications on AWS; familiarity with services such as S3, RDS/Postgre

SQL, Athena, Elasti Cache/Redis, Open Search, Fargate, Lambda, IAM, and VPC patterns.
* Strong proficiency in Python, FastAPI, Type Script/Node, or comparable backend application frameworks.
* Experience with containers, CI/CD, Git Hub-based workflows, automated testing, environment configuration, and infrastructure-as-code such as Terraform, AWS CDK, or Cloud Formation.
* Experience building LLM, RAG, or agentic AI applications using frameworks such as Lang Graph, Lang Chain, Pydantic

AI, Claude Agent SDK, or similar tools.
* Familiarity with MCP/FastMCP, read-write-search APIs, permissioned markdown/YAML stores, vector databases, knowledge graphs, session/state management, structured output validation gates, and evaluation-driven development.
* Experience with SQL, semantic layers, data warehouse context, query history, and systems that translate LLM-derived meaning from unstructured scientific or operational sources into governed data/context layers.
* Experience building sandboxed execution, data branching, provenance, version control, audit, and access-control patterns for agentic or data-intensive applications.
* Practical experience integrating with model providers and a variety of approved frontier LLM models through enterprise AI services such as OpenAI, Anthropic, Gemini, AWS Bedrock, or similar approved channels.
* Effective use of coding agents or AI-assisted development tools such as Claude Code, Codex, Gemini CLI, Git Hub Copilot, or similar tools.
* Excitement for experimenting with the latest AI tools and technologies while turning frontier prototypes into reliable foundations that help discover, develop, and deliver innovative medicines.
* Curious and inquisitive mindset, with strong communication skills and comfort operating in fast-moving, cross-functional agile teams.

The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee's work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit
* ** Health Coverage:
** Medical, pharmacy, dental, and vision care.
* ** Wellbeing Support:
** Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
* ** Financial Well-being and Protection:
** 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
** Work-life benefits include:
**** Uniquely Interesting Work, Life-changing Careers
** With a single vision as inspiring as "Transforming patients' lives through science(TM)", every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

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