The Giant BullseyeRemote
Forward Deployed AI Engineer – Healthcare (Agentic AI )
United States of America
Full Time
6 hours ago
Visa Sponsor
Key skills
PythonAPIsMicroservicesLarge Language ModelsPrompt EngineeringAI FrameworksLangChainSemantic KernelAI/ML ApplicationsData PipelinesModel EvaluationModel MonitoringModel GovernanceAWSAzureStakeholder ManagementAIMLLLMOpenAIAnthropicGeminiPrototypingCommunication
About this role
The Giant Bullseye is seeking Forward Deployed AI Engineers to partner with a major healthcare payer in the U.S. to drive AI-led transformation across core business workflows. This role involves designing, building, and deploying AI agents to enhance healthcare operations and enable teams to become AI-native and self-sufficient.
Responsibilities:
- Redesign healthcare processes using AI-first principles
- Identify opportunities to replace or augment manual workflows with AI agents
- Translate business problems into working AI solutions
- Design, build, and deploy AI agents for enterprise workflows
- Implement multi-agent systems using LLMs (prompting, memory, tool usage)
- Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini)
- Work directly with client teams (business + IT) to: Whiteboard solutions, Build prototypes in days/weeks, Deploy and iterate rapidly
- Operate as a trusted advisor and builder
- Leverage AI across the software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability
- Drive productivity improvements across engineering teams
- Train business and operations teams to: Use AI tools and agents effectively, Build and iterate workflows independently
- Develop reusable playbooks and frameworks
Requirements:
- Strong software engineering background (Python, APIs, microservices)
- Experience with LLMs, prompt engineering, and AI frameworks
- Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)
- Experience building AI/ML or LLM-powered applications
- Understanding of structured and unstructured data pipelines
- Knowledge of model evaluation, monitoring, and governance
- Experience with AWS
- Experience with Azure
- Strong communication and stakeholder management
- Ability to work directly with business teams
- Experience in rapid prototyping and iterative delivery
- 6–12+ years in software engineering, AI, or related roles
- Prior client-facing / consulting experience preferred
- Experience in U.S. healthcare payer or PBM environments
- Understanding of claims, prior auth, or care management workflows
- Familiarity with regulatory/compliance (HIPAA)