About The Position

TechTorch is a high-growth enterprise technology consultancy partnering with leading private equity-backed businesses to accelerate value creation through AI, automation, and digital transformation. We help clients define AI strategy, architect enterprise-grade AI solutions, and deliver measurable business outcomes. The AI Practice helps organizations move beyond AI experimentation into production. We advise executive stakeholders, design enterprise AI architectures, develop reusable AI offerings, and accelerate delivery through modern AI technologies. We are looking for a AI Architect / AI Subject Matter Expert to lead strategic AI engagements for enterprise clients. This is a client-facing consulting role combining AI strategy, enterprise architecture, deep technical expertise, and thought leadership. You will help shape both client AI roadmaps and TechTorch's AI offerings.

Requirements

  • 8+ years in AI, enterprise architecture, solution architecture, or software engineering.
  • Proven experience designing production AI solutions.
  • Strong consulting, stakeholder management, and executive communication skills.
  • Experience leading AI discovery workshops and roadmap definition.
  • Ability to translate business challenges into scalable AI solutions.
  • Generative AI: OpenAI, Claude, Gemini, Azure OpenAI
  • AI Architecture: RAG, AI Agents, Agentic AI, MCP, Prompt Engineering, Vector Databases, AI Evaluation, AI Governance
  • Frameworks: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, FastAPI
  • Cloud: Azure AI, AWS Bedrock, Google Vertex AI
  • Developer Productivity: Claude Code, Cursor, GitHub Copilot, CI/CD

Responsibilities

  • Lead AI strategy, discovery workshops, and executive advisory sessions.
  • Assess AI maturity, business processes, and identify high-value AI opportunities.
  • Design enterprise AI architectures and implementation roadmaps.
  • Define AI operating models, governance, security, and Responsible AI practices.
  • Architect solutions using LLMs, RAG, Agentic AI, MCP, vector databases, and enterprise AI platforms.
  • Partner with engineering teams to guide implementation and review solution designs.
  • Shape TechTorch AI offerings, accelerators, playbooks, and reference architectures.
  • Support proposals, pre-sales, and executive presentations.
  • Mentor consultants and AI engineers while promoting best practices.

Benefits

  • Flexible, remote-first work environment with high-performance expectations and autonomy.
  • Semi-annual team off-sites — we come together in person at least twice a year to connect, recharge, and do the work that's better face-to-face.
  • A team that takes AI tooling seriously and expects you to integrate it into your work.
  • High-autonomy, high-ownership work across the full arc of real client problems.
  • Access to the full modern data and AI stack — no one-tool shops.
  • Exposure to top-tier private equity firms and their portfolio companies.
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