Job Family:
Data Science Consulting

Travel Required:
None

Clearance Required:
Ability to Obtain Public Trust

What You Will Do:
The Senior AI Developer / Technical Lead will lead the design, development, deployment, and delivery of complex artificial intelligence, machine learning, generative AI, and public health analytics solutions for the Centers for Disease Control and Prevention and related clients. This role combines hands-on technical leadership with end-to-end project oversight, translating program objectives into scalable AI architectures and actionable delivery plans. The position is responsible for guiding multidisciplinary teams, establishing secure and responsible AI development practices, managing technical risks, and ensuring high-quality, compliant solutions. The successful candidate will serve as a primary liaison between clients, product stakeholders, and technical teams while driving innovation, reproducibility, maintainability, and continuous improvement across AI and analytics workflows.

Key Responsibilities:

Lead end-to-end planning, architecture, development, testing, deployment, and delivery of complex AI, machine learning, generative AI, and public health analytics solutions, ensuring scope, schedule, budget, security, performance, and quality objectives are met.

Translate client, user, and program objectives into technical requirements, AI solution architectures, product roadmaps, work plans, milestones, and deliverables aligned with federal standards, responsible AI principles, and stakeholder expectations.

Provide hands-on technical leadership to multidisciplinary teams of AI developers, machine learning engineers, data engineers, data scientists, biostatisticians, and epidemiologists, fostering collaboration, accountability, code quality, and high performance.

Serve as the primary technical point of contact for clients and stakeholders, communicating AI capabilities, limitations, tradeoffs, delivery status, and risks while facilitating timely technical and product decisions.

Design and develop production-ready AI solutions, including machine learning models, generative AI applications, retrieval-augmented generation workflows, intelligent agents, APIs, and reusable software components using modern development frameworks and cloud services.

Establish and oversee software engineering and MLOps practices, including version control, peer review, automated testing, CI/CD, model evaluation, monitoring, performance optimization, documentation, and secure deployment across development, test, and production environments.

Evaluate emerging AI technologies and select appropriate models, frameworks, platforms, and integration patterns based on solution requirements, cost, scalability, security, explainability, and operational sustainability.

Implement responsible AI, privacy, security, and data governance controls throughout the solution lifecycle; identify technical risks and dependencies; and mentor developers through architecture reviews, coding standards, troubleshooting, and knowledge sharing.

What You Will Need:
U.S. Citizenship OR be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST"

Bachelor's degree

Minimum of FIVE (5) years of professional experience

Experience in data engineering, software development, or related roles.

Proven ability to lead multidisciplinary technical teams and communicate complex AI concepts, architecture decisions, risks, and recommendations to technical and non-technical stakeholders in public health, healthcare, government, or other regulated environments.

What Would Be Nice To Have:

Demonstrated senior-level experience designing and developing AI or machine learning solutions using Python and modern AI/ML frameworks, with the ability to produce, review, and troubleshoot production-quality code.
Experience supporting federal programs and/or data modernization projects.

Minimum of 3+ years' experience architecting and deploying AI applications in cloud environments, integrating models with enterprise data sources and APIs, and applying software engineering, DevSecOps, MLOps, testing, monitoring, and documentation practices.

Minimum of 5+ years' experience leading technical development team(s)

Must be able to work in matrixed environment.

Experience delivering generative AI solutions using large language models (LLMs), retrieval-augmented generation, prompt engineering, vector databases, semantic search, AI agents, and model evaluation techniques.

Experience with Azure AI services or comparable cloud AI platforms, containerization and orchestration, infrastructure automation, data pipelines, and federal security and compliance frameworks; familiarity with responsible AI, explainability, bias assessment, human-in-the-loop review, and model risk management is strongly preferred.

Experience with Databricks, Snowflake, and other data processing or analytic technologies

The annual salary range for this position is $118,000.00-$196,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1- or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.