Guidehouse · 7 hours ago
AI Engineering Manager – AI & Data Development (Health)
United States
Full-time
Remote
Senior Level
$118K/yr - $196K/yr
5+ years expGuidehouse is a consulting firm specializing in data science and AI solutions. As an AI Engineering Manager, you will lead the design and deployment of AI solutions in the healthcare sector, driving agile execution and ensuring compliance with industry regulations.
ConsultingProfessional ServicesAdviceManagement Consulting
No H1B
U.S. Citizen Only
Responsibilities
AI & Agentic Systems Engineering
Design, architect, and deploy enterprise-ready AI agents, including retrieval components, orchestration layers, policy-based routing, evaluation harnesses, and lifecycle observability
Develop and manage multi-provider abstraction layers across AI platforms (OpenAI, Anthropic, Google/Vertex AI, etc.) to support scalable and portable AI solutions
Build cloud-native AI systems, using Kubernetes, Docker, microservices, serverless computing, event-driven architectures, CI/CD, and comprehensive observability stacks
Tailor and implement industry-specific agentic workflows (healthcare, finance, energy) to automate complex processes and drive measurable outcomes
Partner with cross-functional stakeholders to define use cases, rapidly prototype solutions, and deploy robust agentic workflows into production and client environments
Conduct design workshops, POCs, and joint engineering sessions to support client enablement and adoption of AI-driven solutions
Define and monitor key metrics for agent accuracy, safety, latency, cost-efficiency, and reliability
Ensure AI solutions comply with applicable industry and regulatory standards (HIPAA, SOC 2, etc.). Create and maintain detailed documentation across model development, training, fine-tuning, deployment, and operational processes
Provide technical leadership, mentorship, and guidance to junior engineers and contributing team members
Develop reusable patterns, best practices, and internal frameworks that influence Guidehouse’s AI engineering strategy and client roadmaps
Qualification
Required
US Citizenship or a Green Card is required
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field
A minimum of FIVE (5) years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless architectures)
A minimum of ONE (1) year of deep, hands-on experience designing and deploying agentic AI systems (RAG, orchestration, tool use, workflow automation) in production
A minimum of THREE (3) years working with leading AI platforms (OpenAI, Claude, Vertex AI) and open-source LLM frameworks, including building abstraction layers for multi-provider pipelines
A minimum of FIVE (5) years of programming experience in Python, Java, or equivalent languages, with familiarity in logging, monitoring, and agent/LLM observability
A minimum of FIVE (5) years deploying production systems using CI/CD, infrastructure-as-code (Terraform, Helm), and modern monitoring/debugging tools
Delivered 3 to 5 medium or large-scale AI/LLM projects of significant business value
Strong command of Python and modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
Experience deploying and optimizing models using serving/inference frameworks (Triton, TensorRT, VLLM, TGI, etc.)
Familiarity with MLOps practices for CI/CD, continuous training, observability, and automated monitoring
Proven ability to work with business, engineering, and IT teams to incorporate AI/ML capabilities into enterprise solutions
Strong analytical problem-solving skills and the ability to operate in ambiguous, fast-moving environments
Excellent communication skills, enabling effective collaboration across internal and client teams
Preferred
Understanding of healthcare interoperability standards (FHIR, HL7, EDI) and regulatory frameworks (HIPAA, SOC2) is preferred
Experience with Voice AI and applied healthcare AI solutions is a plus
Additional certifications in AI, cloud platforms, data platform (Databricks, Snowflake) or agentic tools are a strong plus
Prior experience as an Agentic AI Engineer in an enterprise setting
Familiarity with compound AI system architectures, orchestration frameworks, agent registries, and event/stream-based systems
Strong understanding of the AI-native paradigm, blending cloud-native engineering with LLM-driven architectures for performance, modularity, and efficiency
Experience delivering agentic solutions across multiple industries, such as healthcare and finance
Benefits
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
Company
Guidehouse
Guidehouse offers consulting services for public and commercial markets with expertise in management, technology, and risk consulting.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$0.75MKey Investors
Mission Daybreak
2023-11-06Acquired
2023-02-16Grant· $0.75M
Leadership Team
Scott McIntyre
Chairman and CEO
Alicia Harkness
Partner
Recent News
PR Newswire
2026-02-03
Washington Technology
2026-01-16
Company data provided by crunchbase