Principal AI Strategist

Socket.dev; Providence (RI); On-site; USD 180,000 - 240,000; Full time

Job summary

MojoTech is seeking a Principal AI Strategist to guide clients from AI ambition to production-ready value. You will lead AI Transformation and Product Strategy engagements, drive opportunity framing, ROI analysis, and governance, and work with engineering to ensure data readiness and scalable AI solutions.

The role emphasizes AI-native leadership, consulting experience, and ability to guide both business and technical decisions while managing project teams and delivering measurable outcomes.

Qualifications

• AI degree or equivalent applied background spanning technical and business-facing AI strategy.
• 10+ years of total professional experience.
• 3+ years in AI, data, digital product, automation, or related strategy work.
• Experience leading client-facing strategy, transformation, or AI product strategy engagements.
• Hands-on experience building, prototyping, evaluating, or shaping AI-enabled solutions.
• Strong understanding of LLMs, prompt engineering, evaluation, RAG, embeddings, and AI governance.
• Ability to work with engineering on model selection, data readiness, and production tradeoffs.
• Experience identifying AI opportunities and linking them to commercial outcomes.
• Experience developing financial business cases modeling ROI and payback, with FinOps awareness.
• Leadership of project teams and delivery accountability.
• Experience with multiple AI platforms and tooling.

Responsibilities

• Lead Workshops and AI Strategy engagements with clients.
• Define investment priorities for clients in AI and justify them.
• Frame opportunities, build value hypotheses, assess feasibility, guide direction.
• Shape AI strategy into delivery roadmaps, business cases, and production plans.
• Collaborate with engineering on model selection, data readiness, and cost considerations.
• Evaluate LLMs, embeddings, retrieval, agents, and governance decisions.
• Translate proof-of-value work into production direction and roadmaps.
• Oversee end-to-end delivery of AI strategy engagements and team structure.
• Align AI strategy with client product requirements and execution plan.
• Collaborate with Product Managers to translate strategy into builds and backlogs.

Skills

AI strategy

Executive communication

Client-facing consulting

Strategy workshops

Product strategy

Roadmap development

Leadership

Financial business cases

Two or more tools/platforms

Education

AI degree or equivalent

Tools

OpenAI

Anthropic

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Databricks

LangChain

LangGraph

Figma

Job description

About MojoTech

MojoTech is an innovative technology consulting firm that leverages strategy, design, data, and software engineering to create results-driven, AI-enabled, digital products and experiences.

We partner with our clients to discover and build tomorrow’s intelligent innovations, empowering every company to unlock future market potential, maximize returns on innovation, and drive transformational change.

About the Role

MojoTech is looking for a contract-to-hire Principal AI Strategist to help clients move from AI ambition to production-ready, measurable business value. They will help lead workshops, AI Transformation and AI Product Strategy engagements from early opportunity framing through production delivery oversight, and participate in forward deployed AI innovation pods.

You will help lead MojoTech's AI Strategy operating model across client delivery, project team leadership, and internal AI enablement. This role exists because AI requires specialized leadership across opportunity selection, feasibility, model and architecture decisions, risk, cost, adoption, and production value. The role requires someone who is AI-native, has consulting experience, and able to guide both business and technical decisions, while also managing project teams.

What You'll Do

• Lead Workshops, Forward Deployed AI Innovation pods, AI Strategy (Transformation and Product) engagements with clients.


• Define where clients should invest in AI and why.


• Lead AI opportunity framing, value hypotheses, prioritization, feasibility, and solution direction.


• Guide client transformation by leading and shaping AI transformation and product vision, roadmap, investment business case, technical approach, and production path for clients.


• Work with engineering and data teams to assess data readiness, architecture, integrations, model fit, cost, risk, and production implications.


• Lead solution decisions across LLMs, RAG, embeddings, vector databases, retrieval quality, agents, orchestration, model selection, governance, human oversight, monitoring, and AI risk.


• Support AI-first FDE and rapid prototyping workstreams by helping scope, validate, and translate proof-of-value work into production direction.


• Lead project teams end to end on AI Strategy engagements, owning team structure, and delivery quality.


• Drive business outcomes by carrying AI strategy into delivery, overseeing value alignment, roadmap execution, adoption, and production readiness.


• Work alongside Product Managers for delivery of build projects following strategy engagements, as they support requirements gathering, backlog development, stakeholder coordination, and execution management.

What You'll Bring

• AI degree or equivalent applied background, spanning technical and business-facing AI strategy


• 10+ years total professional experience.


• 3+ years in AI, data, digital product, automation, emerging technology strategy, or related work.


• Experience leading client-facing strategy, transformation, or AI product strategy engagements.


• Direct hands-on experience building, prototyping, evaluating, or shaping AI-enabled solutions.


• Strong understanding of LLMs, prompt engineering, evaluation, RAG, embeddings, vector databases, retrieval quality, agentic workflows, AI governance, monitoring, and risk.


• Ability to work with engineering on model selection, AI architecture, data readiness, integrations, token cost, compute cost, egress cost, security, and production tradeoffs.


• Experience identifying AI opportunities within a product or operational workflow connecting them to commercial outcomes.


• Experience developing financial business cases that model ROI, payback period, and total cost of ownership, and establishing FinOps guardrails


• Experience leading and managing project teams, including team structure and delivery accountability.


• Experience with two or more tools or platforms such as OpenAI, Anthropic, Azure AI Foundry, AWS Bedrock, Google Vertex AI/Gemini, Databricks, LangChain, LangGraph, Figma, Gemini, or workflow automation tools.


• Strong executive communication, facilitation, synthesis, and consulting skills.


• Product or project management experience at some point in your career.


• Strong structured writing across memos, critique docs, and executive decks.

Nice to Have

• Certification across AI tools.