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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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.


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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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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