AI Engineering Manager – AI & Data Development (Health)

Guidehouse Inc.

Job Overview

Location

US - Remote (Any location)

Job Type

Full-time

Full Job Description

📋 Description

• As an AI Engineering Manager at Guidehouse, you will lead the design, development, deployment, and optimization of AI solutions, including foundational model fine-tuning and agentic workflow orchestration primarily within the healthcare sector and expanding into additional business verticals. You will play a critical role in shaping Guidehouse’s AI engineering strategy, ensuring solutions are production-grade, secure, compliant, and capable of delivering meaningful client and operational impact. Your expertise will help revolutionize healthcare delivery, enhance user experience, reduce operational costs, and maintain adherence to industry regulations such as HIPAA.
• This role is a hands-on delivery leader and trusted client partner, responsible for independently owning projects/workstreams, driving agile execution, and translating healthcare business needs into scalable AI technology and data solutions. The role emphasizes delivery excellence, client impact, and collaboration.
• You will design, architect, and deploy enterprise-ready AI agents, including retrieval components, orchestration layers, policy-based routing, evaluation harnesses, and lifecycle observability. You will develop and manage multi-provider abstraction layers across AI platforms (OpenAI, Anthropic, Google/Vertex AI, etc.) to support scalable and portable AI solutions. You will build cloud-native AI systems using Kubernetes, Docker, microservices, serverless computing, event-driven architectures, CI/CD, and comprehensive observability stacks.
• You will tailor and implement industry-specific agentic workflows (healthcare, finance, energy) to automate complex processes and drive measurable outcomes. You will partner with cross-functional stakeholders to define use cases, rapidly prototype solutions, and deploy robust agentic workflows into production and client environments. You will conduct design workshops, POCs, and joint engineering sessions to support client enablement and adoption of AI-driven solutions.
• You will define and monitor key metrics for agent accuracy, safety, latency, cost-efficiency, and reliability. You will ensure AI solutions comply with applicable industry and regulatory standards (HIPAA, SOC 2, etc.). You will create and maintain detailed documentation across model development, training, fine-tuning, deployment, and operational processes.
• You will provide technical leadership, mentorship, and guidance to junior engineers and contributing team members. You will develop reusable patterns, best practices, and internal frameworks that influence Guidehouse’s AI engineering strategy and client roadmaps.

🎯 Requirements

• 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
• Minimum of five (5) years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless architectures)
• Minimum of one (1) year of deep, hands-on experience designing and deploying agentic AI systems (RAG, orchestration, tool use, workflow automation) in production
• 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
• Minimum of five (5) years of programming experience in Python, Java, or equivalent languages, with familiarity in logging, monitoring, and agent/LLM observability
• 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
• 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
• 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

🏖️ 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

Skills & Technologies

Python

Java

Docker

Kubernetes

Terraform

Data Science

Remote

Degree Required

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Guidehouse Inc.

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About Guidehouse Inc.

Guidehouse Inc. is a global consulting and managed services provider formed in 2018 from the public sector practice of PwC. The company advises public and commercial clients on strategy, technology, risk management, and operations, focusing on energy, financial services, health, defense, and cybersecurity. With 18,000 professionals in over 60 offices worldwide, it delivers implementation support, managed services, and digital solutions to federal agencies, utilities, and Fortune 500 organizations. Guidehouse is majority-owned by Veritas Capital and partners with governments and businesses to address complex regulatory, operational, and innovation challenges.

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