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About the Role

As a Senior Forward Deployed Engineer, AI Infrastructure & Deployments, you will own end-to-end delivery for technically demanding customer engagements, from solution architecture through deployment within customer cloud, data infrastructure, and compliance environments. This is a deeply technical role with direct customer context, involving writing production code, designing cloud-native deployment patterns, building integrations, developing MCP servers, and debugging issues in complex environments. You will translate customer requirements into scalable solutions, communicate with stakeholders, surface risks, and make tradeoffs between speed and rigor. This role is ideal for individuals who thrive in ambiguity, take initiative, and enjoy solving complex problems in partnership with customers.

Responsibilities

Design, build, and deploy AI-native solutions inside customer environments, including MCP servers, agentic workflows, and custom integrations.
Own the infrastructure layer for customer deployments, including Terraform-managed AWS environments, VPC networking, IAM, security controls, and data isolation requirements.
Work with large-scale data across tools like Databricks, Delta Lake, Snowflake, and S3, debugging pipeline failures, optimizing performance, and building integrations.
Drive day-to-day technical engagement with customer stakeholders by scoping work, communicating progress, explaining tradeoffs, surfacing risks, and building trust.
Turn field learnings into reusable FDE patterns, deployment templates, engineering standards, and roadmap input for Core Platform and architecture governance.
Contribute reusable deployment patterns to the FDE playbook.
Participate in Komodo’s architecture governance, influencing platform decisions.
Partner cross-functionally with Sales, Product, Data, and Core Engineering to close gaps and shape the roadmap.

Requirements

7+ years of software engineering experience, with a track record of building and owning systems that run in production.
Hands-on experience building LLM-powered applications, agentic workflows, or AI tools beyond prototypes.
Strong AWS and Terraform experience, including VPC networking, IAM, security controls, and standing up reliable customer or single-tenant environments.
Strong Python skills, experience with APIs, async service patterns, and building software that other teams, customers, or businesses depend on.
Experience working with large-scale data systems such as Databricks, Delta Lake, Snowflake, S3, or similar platforms.
Comfort designing for data isolation, customer security requirements, and regulated environments with constraints such as SOC 2, BAA, HIPAA, or similar considerations.
Experience building integration surfaces for AI systems, including MCP servers or equivalent patterns.
Ability to lead technical conversations with customer engineers and senior stakeholders, explain tradeoffs clearly, drive alignment, and build trust.
Ability to work across infrastructure, application, data, and AI layers, find a path when one does not already exist, and deliver on commitments.

Skills

Agentic AI
LLM-powered applications
Agentic workflows
AI tools
AWS
Terraform
VPC networking
IAM
Security controls
Python
APIs
Async service patterns
Databricks
Delta Lake
Snowflake
S3
Data isolation
SOC 2
BAA
HIPAA
MCP servers
Integration patterns
LangGraph
Strands
CrewAI
LLM evaluation frameworks
LangSmith
Braintrust
Ragas
Healthcare data
Life sciences data
IQVIA data structures
Pharma customer workflows
Payer data contracts
API gateway patterns
Service mesh patterns
Shared platform infrastructure
Data residency
Audit logging
Multi-party data access constraints

Location

Remote
Hybrid in NYC/SF

Work Type

Remote
Hybrid

Experience Level

Senior
7+ years of software engineering experience

Salary/Compensations

San Francisco Bay Area and New York City: $220,000—$253,000 USD
All Other US Locations: $191,000—$220,000 USD

Benefits

Comprehensive health, dental, and vision insurance
Flexible time off and holidays
401(k) with company match
Disability insurance
Life insurance
Leaves of absence in accordance with applicable state and local laws and regulations and company policy

About the Company

At Komodo Health, our mission is to reduce the global burden of disease through the smarter use of data. We built the Healthcare Map, the industry’s largest and most complete view of the U.S. healthcare system, combining de-identified patient data with innovative algorithms. Our AI-native product, Marmot, powered by an MCP Gateway architecture, connects our data platform to customer tools. We are driven by values: be awesome, seek growth, deliver “wow,” and enjoy the ride. We are a team of ambitious, supportive individuals with a shared passion to deliver on our mission.
Komodo's AI Standard: At Komodo, we're leading the AI revolution in healthcare. AI is foundational here, expected to be integrated into daily work for efficiency and meaningful impact. We build on trust in AI to drive collective success.

Equal Opportunity

Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.