AI Architect/AI Subject Matter Expert

Techtorch

United States

Who this role is best for

Geared toward mid-level professionals comfortable with designing enterprise AI architectures and leading strategic client engagements. Candidates should have a background in AI consulting and be prepared to work in a high-autonomy, remote-first environment focused on measurable outcomes.

Best fit for

Mid-level professionals with 8+ years of AI and enterprise architecture experience who can lead client strategy sessions
— “8+ years in AI, enterprise architecture, solution architecture, or software engineering”
Consulting experts who can translate business needs into scalable AI solutions and influence executive stakeholders
— “Lead AI strategy, discovery workshops, and executive advisory sessions”
Individuals experienced in building reusable AI accelerators and thought leadership in AI technologies
— “Shape TechTorch AI offerings, accelerators, playbooks, and reference architectures”

Things to consider

High-performance expectations are required despite the remote-first work arrangement
— “Flexible, remote-first work environment with high-performance expectations and autonomy”
The role demands a strong ability to partner with engineering teams and guide technical implementation
— “Partner with engineering teams to guide implementation and review solution designs”

How to stand out

Emphasize experience in leading AI discovery workshops and defining AI roadmaps for clients
— “Experience leading AI discovery workshops and roadmap definition”
Highlight technical leadership in AI architecture and governance frameworks
— “Define AI operating models, governance, security, and Responsible AI practices”
Showcase ability to create reusable AI solutions and contribute to TechTorch's IP development
— “Creation of reusable AI accelerators and TechTorch IP”
Demonstrate expertise in modern AI technologies like LLMs, RAG, and vector databases
— “Architect solutions using LLMs, RAG, Agentic AI, MCP, vector databases, and enterprise AI platforms”
Demonstrate experience with cloud platforms such as Azure AI, AWS Bedrock, and Google Vertex AI
— “Cloud: Azure AI, AWS Bedrock, Google Vertex AI”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Mid Level

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Successful delivery of enterprise AI strategies and architectures
Adoption of AI roadmaps by executive stakeholders
Creation of reusable AI accelerators and TechTorch IP
Measurable client business outcomes
Technical leadership across AI Practice engagements

Typical background

8+ years in AI, enterprise architecture, solution architecture, or software engineeringProven experience designing production AI solutionsStrong consulting, stakeholder management, and executive communication skills

Skills & requirements

Required

AI StrategyEnterprise ArchitectureAI Discovery WorkshopsAI Implementation RoadmapsLlmsRAGAgentic AIMCPVector DatabasesEnterprise AI PlatformsConsultingStakeholder ManagementExecutive Communication

Preferred

LangchainLanggraphCrewaiAutogenSemantic KernelFastapiAzure AIAWS BedrockGoogle Vertex AIClaude CodeCursorGithub CopilotCI/CD

Stack & domain

AI ArchitectureLlmsRAGAgentic AIMCPVector DatabasesEnterprise AI PlatformsLangchainLanggraphCrewaiAutogenSemantic KernelFastapiCloud: Azure AI, AWS Bedrock, Google Vertex AIDeveloper Productivity: Claude Code, Cursor, Github Copilot, Ci/cdConsultingStakeholder ManagementExecutive CommunicationAI StrategyEnterprise ArchitectureDeep Technical ExpertiseThought Leadership

About the role

Original posting from Techtorch via Ashby

AI Architect / AI Subject Matter Expert
About TechTorch
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.
About the AI Practice
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.
About the Role
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.
What You'll Do
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.
Required Experience
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.
Technical Expertise
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
Success Metrics
Successful delivery of enterprise AI strategies and architectures.
Adoption of AI roadmaps by executive stakeholders.
Creation of reusable AI accelerators and TechTorch IP.
Measurable client business outcomes.
Technical leadership across AI Practice engagements.
Our Values
Our values reflect the DNA of the private equity-backed companies we serve — focused on speed, ownership, accountability, and results:
Client First – We focus relentlessly on delivering outcomes that create value for our clients
We, Not Me – We win together. Collaboration drives transformation at scale
Get Stuff Done – We execute with speed and precision — because in PE, time matters
AI First – We embed AI at the core, enabling scalable, high-leverage solutions
Own It – We take accountability for results, delivering on what we promise
Agile Mindset – We adapt quickly and proactively seek better ways to move forward
What We Offer
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.

Source: Techtorch careers (Ashby)