Enterprise AI/ML Technical Advisor

Role Overview

Metric5 is seeking an Enterprise AI/ML Technical Advisor to provide technical leadership and mentorship in the practical application of traditional and generative AI within the federal government. This role combines deep hands-on technical expertise with the ability to coach and enable agency teams, helping them integrate AI into their large-scale data environments to reduce fraud, waste, and abuse.

You will serve as a trusted advisor, offering input, reviews, and technical support on enterprise AI initiatives, the adoption of AWS and Snowflake-based architectures, and chatbot deployment strategies. At the same time, you’ll work side-by-side with federal employees to build their knowledge, confidence, and independence in applying AI effectively. Success is measured not only in solutions delivered, but in the capability uplift of the federal teams you mentor.

How This Role Differs

Unlike typical AI roles focused solely on model development and delivery, this position emphasizes capacity building. You’ll bring the credibility of an architect-level practitioner while focusing on knowledge transfer and enablement—ensuring federal teams can sustain, scale, and govern AI solutions themselves.

Key Responsibilities

• Advise on the architecture and deployment of AI/ML and GenAI solutions in large-scale, secure enterprise environments.
• Demonstrate practical applications of AI for fraud detection, workflow automation, and chatbot/virtual assistant deployments.
• Advise on cloud and data architectures to support AI/ML integration and scalability.
• Mentor federal teams, adapting coaching approaches to skill gaps, learning styles, and organizational context.
• Translate stakeholder needs into actionable AI/ML use cases and solution architectures.
• Ensure AI deployments meet security, governance, and responsible AI standards.
• Support federal leaders in understanding both the potential and limitations of AI to inform policy and product planning.

Required Qualifications

• Cloud & Infrastructure
  • Strong experience architecting and deploying solutions in AWS and/or Azure, ideally in secure enterprise or government environments.
  • Proficiency with infrastructure as code (Terraform, CloudFormation, ARM/Bicep).
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes, EKS/AKS).
  • Familiarity with serverless computing (AWS Lambda, Azure Functions).
  • Understanding of cloud compliance and security frameworks (FedRAMP, HIPAA, IAM, RBAC, Zero Trust).
• Data & AI/ML
  • Hands-on experience with Generative AI frameworks (LangChain, LlamaIndex, HuggingFace).
  • Experience integrating with enterprise-scale data platforms such as Snowflake, Databricks, Redshift, or Azure Synapse.
  • Demonstrated ability to design and deploy applied AI/ML solutions in production environments.
  • Practical MLOps/LLMOps experience: deployment pipelines, monitoring, model lifecycle management.

• Consulting & Mentorship

  • Proven success in mentoring technical teams and enabling skill development
  • Ability to translate stakeholder needs into actionable architectures and use cases.
  • Strong communication skills for engaging both technical and non-technical audiences.

Preferred Qualifications

• Cloud & Data

  • Familiarity with additional cloud providers (GCP, Oracle Cloud).
  • Knowledge of ETL/ELT tools (AWS Glue, DataBrew, Azure Data Factory, DBT).
  • Experience with real-time and batch data processing (Kafka, Kinesis).

• AI/ML Specialties

  • Deployment of chatbots or conversational AI at scale.
  • Familiarity with vector databases (Pinecone, FAISS, Weaviate, Milvus).
  • Experience with cloud-native ML services (AWS SageMaker, Bedrock; Azure ML; GCP Vertex AI).
  • Knowledge of responsible AI practices (explainability, bias mitigation).

• Professional & Contextual

  • Experience in regulated industries (federal, healthcare, finance).
  • Familiarity with procurement, governance, or compliance processes in complex enterprises.

Education: Bachelor’s degree or equivalent experience required. Master’s degree or higher preferred.

Salary Range: $160,000 – $190,000 annually

Location: Remote within the United States (monthly travel to Baltimore, MD required)

Clearance: Must be able to obtain and maintain a federal Public Trust/Suitability, which includes a requirement of U.S. residency for three out of the last five years

About Metric5
Metric5 is a small business with big company benefits. We have a passionate team of smart, fun, caring professionals, and we are here for the long haul. Join our growing team in a business where your contributions make an enormous impact. Our organization offers a comprehensive employee benefits package, continuous professional development, with a best in class company culture that is enjoyable to work in and supports the growth of each of our professionals.
Our benefits include:

• Health & Dental Insurance with 100% of individual coverage paid for by the company
• Vision Insurance
• Life & Short Term Disability Insurance
• 401K with company match (employees are immediately vested)
• Paid Vacation
• 9 Paid Holidays per year (plus 2 paid floating holidays)
• Parental Leave
• Employee Bonuses
• Professional Development Reimbursement Program
• Tuition Assistance Program

Metric5 is an Equal Opportunity Employer. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, sexual orientation, gender identity,
national origin, disability, or status as a protected veteran.