Gen AI Strategy Lead

Role: Gen AI Strategy Lead

Location: Frederick, MD /Remote

FTE only

Job Description

Role Overview

The AI Strategy Leader will serve as a strategic advisor, technical expert, and innovation catalyst for enterprise AI initiatives.

This role combines deep knowledge of AI/ML technologies with strong business acumen to guide organizations on adopting, scaling, and governing AI solutions responsibly.

The strategist will lead discovery, solution design, and implementation oversight of AI-driven transformations.

Key Responsibilities

1. AI Strategy & Technology Leadership

• Define enterprise-level AI strategies aligned with business goals and industry trends.

• Identify AI/ML opportunities to optimize processes, reduce costs, and enable new digital capabilities.

• Guide decision makers on technology selection, architecture patterns, and AI platform roadmaps.

• Establish AI governance frameworks covering ethics, compliance, model lifecycle, and risk mitigation.

2. Solution Design & Architecture

• Architect end-to-end AI solutions using modern tools (LLMs, Agentic AI, LLMOps, cloud-native AI, etc).

• Lead technical assessments, feasibility studies, and PoCs for emerging AI technologies.

• Ensure architectural scalability, performance, and security across AI systems.

3. AI Implementation Leadership

• Oversee AI model development, training, evaluation, deployment, and monitoring.

• Provide hands-on guidance on prompt engineering, RAG design, model fine-tuning, and responsible AI practices.

• Coordinate cross-functional teams including developers, data scientists, and business SMEs.

• Ensure alignment between project outcomes and business value expectations.

4. Stakeholder Engagement & Consulting

• Act as a trusted advisor to senior leadership, explaining complex AI concepts in business-friendly language.

• Conduct workshops, training sessions, and awareness programs to build AI literacy across the organization.

• Translate business requirements into technical specifications and actionable implementation plans.

• Develop proposals, business cases, and ROI models for AI investments.

5. Innovation & Thought Leadership

• Monitor global AI trends, tools, and industry use cases to bring innovative solutions to clients.

• Publish internal/external whitepapers, frameworks, and accelerators supporting AI adoption.

• Mentor junior consultants, engineering teams, and client stakeholders.

Required Skills & Experience

Technical Expertise

• Strong understanding of GenAI, large language models (LLMs), Agentic AI, cloud AI services, and MLOps practices.

• Experience with cloud AI and Data services.

• Solid grounding in NLP, Computer Vision, predictive modeling, and data engineering fundamentals.

• Familiarity with vector databases, RAG pipelines, embeddings, and model evaluation techniques.

Consulting & Leadership Skills

• Proven experience delivering AI programs in consulting or enterprise environments.

• Strong stakeholder management and communication skills across technical and business teams.

• Ability to lead cross-functional initiatives and drive decision-making in complex environments.

• Strategic mindset with the ability to translate business challenges into AI solutions.

Preferred Attributes

• Innovative thinker passionate about emerging AI technologies.

• Strong logical reasoning, problem-solving, and analytical skills.

• Ability to operate in fast-paced, ambiguous environments.

• Demonstrated thought leadership-speaking, writing, or mentoring around AI topics.