Forward Deployed AI Engineer

Medecision

. Own technical delivery of customer AI deployments from discovery through production go-live, including scoping, architecture, build, testing, cutover, and post-launch support .

Posted 10/16/2026full-timeChicago • Illinois • United StatesMid-LevelSenior💰 $140,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI deployment within healthcare, focusing on integrating large language models and ensuring compliance with HIPAA and HITRUST. Proficient in Python and TypeScript for building production-quality code and managing CI/CD pipelines.

Highest-signal resume keywords

Python ProficiencyLarge Language Model IntegrationHealthcare Technology ExperienceGoogle Cloud Platform ExperienceClient-Facing Delivery Experience

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptLarge Language ModelsPrompt EngineeringTool CallingEvaluation FrameworksAPI IntegrationReliability EngineeringCI/CD PipelinesGitLab

Soft Skills

Exceptional Communication SkillsHigh OwnershipBias For Action

Tools & Technologies

Google Cloud PlatformLangChainLangGraphLangSmithModel Context ProtocolEHR IntegrationCare Management PlatformsUtilization Management PlatformsData WarehousesDashboards

Certifications & Qualifications

Google Cloud Professional Cloud ArchitectGoogle Cloud Professional Machine Learning EngineerHCISPP

Industry Keywords

Healthcare WorkflowsHIPAAHITRUSTFHIRHL7X12Claims DataEligibility DataPrior AuthorizationInteroperability

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformPythonTypeScript

About the role

Key responsibilities & impact

Own technical delivery of customer AI deployments from discovery through production go-live, including scoping, architecture, build, testing, cutover, and post-launch support
Embed with customer clinical, operational, and IT stakeholders to map healthcare workflows and translate them into agent designs
Build proofs of concept and MVPs, then harden them for production
Integrate agents with care management and utilization management platforms, claims and eligibility data, EHRs, and data warehouses
Partner with Solution Consulting and Sales on technical discovery, demos, and pilot design
Enable customer teams through documentation and knowledge transfer
Design and implement agent intelligence using prompts, reasoning, retrieval-augmented generation, tool calling, and MCP integrations
Build human-in-the-loop workflows for clinical and utilization management decisions
Develop evaluation frameworks using LLM-as-judge, golden test sets, and clinical review loops
Write production-quality Python and TypeScript code using approved AI-assisted development tools
Build reusable deployment patterns, templates, and connectors
Own reliability through monitoring, alerting, logging, incident response, and performance tuning
Build dashboards tracking agent health and customer outcomes
Handle Protected Health Information according to HIPAA and HITRUST controls
Ship changes through GitLab merge requests and CI/CD pipelines with peer review
Support AI governance and Responsible AI review
Support healthcare interoperability requirements, including FHIR and HL7 standards and CMS interoperability and prior authorization rules
Surface platform gaps and field insights to Product and Engineering
Follow organizational security policies and procedures

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
Master’s degree in Computer Science, Data Science, or a related discipline preferred
Relevant professional certifications are a plus, such as Google Cloud Professional Cloud Architect, Google Cloud Professional Machine Learning Engineer, or HCISPP
Strong Python proficiency with experience integrating solutions into enterprise systems
Experience as a software engineer, including experience in a client-facing, embedded, or forward-deployed delivery role
Hands-on experience building with large language models in production, including retrieval-augmented generation, prompt engineering, tool calling, and evaluation
Experience with LLM and agent frameworks such as LangChain, LangGraph, LangSmith, or Model Context Protocol (MCP)
Experience integrating with APIs, databases, and enterprise systems, including asynchronous patterns, error handling, and reliability engineering
Healthcare technology experience highly preferred, especially with health plans, care management, utilization management, or prior authorization
Familiarity with FHIR, HL7, X12, claims, and eligibility data
Experience with Google Cloud Platform, containerized deployments, and CI/CD pipelines; GitLab preferred
Exceptional communication skills for explaining technical concepts to clinical, operational, and executive audiences
Demonstrated end-to-end delivery ownership in a client-embedded environment
High ownership and bias for action; comfortable operating autonomously in a fast-paced, evolving environment
Willingness and ability to work onsite at a client location in the Chicago, IL area, with additional travel as needed
Authorization to work for any employer in the United States; employment visa sponsorship is not offered

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Retirement savings plans
Paid Leave of Absence options
Parental Leave for welcoming a new child
Caregiver Leave for taking care of a loved one who is ill
A collaborative, in-person environment with one of our strategic clients, with the full support of the broader Medecision team behind you