AI Lead
Tysons Corner, VA - USA
Job Summary
Job Family:
IT Architecture/Cloud
Travel Required:
Clearance Required:
Job Description Summary
The AI Lead will set the technical direction and lead the delivery of secure scalable and responsible artificial intelligence and machine learning solutions in federal and other highly regulated environments. This role will also support modernization initiatives by helping integrate AI capabilities into evolving platforms applications and business processes while maintaining continuity with legacy systems. The role combines hands-on architecture expertise strategic leadership and cross-functional collaboration to translate mission needs into production-ready capabilities. The AI Lead will guide multidisciplinary teams establish AI engineering and governance standards and ensure solutions are reliable auditable cost-effective and aligned with organizational priorities security requirements and responsible AI practices.
What You Will Do
Define the AI strategy technical roadmap reference architectures and engineering standards that connect mission and business priorities to measurable outcomes.
Lead the end-to-end design and delivery of AI/ML and generative AI solutions including data ingestion model selection and development retrieval-augmented generation agentic workflows deployment monitoring and sustainment.
Architect secure scalable solutions across cloud and hybrid environments applying sound software engineering API distributed systems data and platform design practices.
Establish and oversee MLOps and LLMOps practices for automated testing evaluation release management observability traceability reproducibility and operational resilience.
Evaluate models tools and vendors; guide build-versus-buy decisions; and lead proofs of concept that responsibly translate emerging technologies into enterprise capabilities.
Implement responsible AI and model risk management practices including documentation validation explainability fairness privacy human oversight bias mitigation change control and periodic review.
Ensure solutions align with applicable security accessibility records management privacy and compliance requirements including FedRAMP FISMA NIST frameworks and agency-specific policies where applicable.
Lead and mentor cross-functional teams of data scientists ML engineers data engineers software engineers and platform specialists; conduct design reviews and promote technical excellence.
Partner with executives product owners program leaders security legal privacy and operations teams to communicate options risks tradeoffs and recommendations in clear business terms.
Monitor solution quality model performance drift latency reliability adoption and cost; use feedback and metrics to drive continuous improvement.
Support modernization initiatives by identifying opportunities to embed AI into new and legacy applications aligning solutions with target architectures and coordinating phased adoption to reduce delivery and operational risk.
What You Will Need
Bachelors degree in Computer Science Data Science Engineering Artificial Intelligence or a related field.
TEN (10) years of experience with Six (6) or more years of experience in software engineering AI/ML cloud architecture enterprise technology delivery or related technical roles; a relevant masters degree may substitute for up to two years of professional experience.
Three (3) or more years leading AI/ML teams technical workstreams or large-scale initiatives in complex regulated or mission-driven environments.
Demonstrated experience architecting and delivering production AI/ML solutions across the full lifecycle from discovery and prototyping through deployment monitoring and sustainment.
Strong knowledge of generative AI large language models retrieval-augmented generation prompt engineering model evaluation vector search and agentic application patterns.
Experience with AWS cloud-native architectures and services such as Amazon Bedrock SageMaker AI Lambda ECS or Fargate S3 API Gateway and event-driven services.
Knowledge of MLOps and LLMOps practices CI/CD automated testing observability model governance security controls and production support.
Experience with cloud-native software design APIs distributed systems data integration semantic or hybrid search and scalable enterprise architectures.
Ability to lead multidisciplinary teams influence stakeholders manage technical risk and explain complex AI concepts to executive and non-technical audiences.
Understanding of responsible AI data privacy security accessibility and governance principles applicable to regulated environments.
What Would Be Nice To Have
Masters degree in Computer Science Data Science Engineering Artificial Intelligence or a related field.
Experience designing enterprise RAG Graph RAG AI agent or multi-agent solutions.
Hands-on experience with Amazon Bedrock capabilities such as Knowledge Bases Guardrails AgentCore Agents Flows prompt management or model evaluation.
Experience with frameworks and protocols such as AWS Strands Agents LangGraph Haystack AI PydanticAI or Model Context Protocol.
Experience with AI evaluation safety testing red teaming tracing observability and runtime governance.
Experience with PostgreSQL and pgvector graph databases or enterprise vector database platforms.
Familiarity with MLflow Kubeflow SageMaker AI Azure Machine Learning or comparable model lifecycle platforms.
Experience supporting federal healthcare financial services or other highly regulated environments.
Knowledge of data governance ontologies enterprise data architecture information assurance and AI risk management frameworks.
Relevant AWS cloud architecture security data or AI/ML certifications.
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
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement Personal Development Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care Hospital Indemnity Accident Insurance Legal Assistance and ID theft protection etc.)
Position may be eligible for a discretionary variable incentive bonus
About Guidehouse
Guidehouse is an Equal Opportunity EmployerProtected 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.
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About Company
Guidehouse is the only scaled advisory consultancy in the world to fully integrate commercial and public or government businesses within each of our industry segments because complex problems require both perspectives to address and outwit.