AI FDE Lead/Architect - Enterprise Solutions

Anthrobyte; Hyderabad; Presencial; INR 4.000.000 - 7.000.000; Tempo integral

Resumo da vaga

Anthrobyte is seeking an AI Forward Deployed Engineer with Supply Chain domain expertise to lead client engagements from presales to production deployment. This is a senior leadership role blending strategy, architecture, and hands-on delivery.

You will work directly with the CTO and enterprise clients to tailor AI solutions, define scoping, and drive end-to-end delivery across data, models, and deployment in complex supply chains.

Qualificações

• 5+ years of hands-on AI/ML experience in production
• Proven presales or solution consulting track record
• Strong storytelling for business audiences
• Global client exposure and cross-cultural fluency
• Hands-on with Python and LLM frameworks

Responsabilidades

• Lead pre-sales and discovery sessions with enterprise clients
• Own AI solution design for proposals and ROI framing
• Build and present PoCs, blueprints, and technical proposals
• Respond to RFPs/RFIs with rigorous technical and commercial content
• Act as trusted AI advisor to CXOs and IT leaders
• Lead workshops and AI readiness assessments at client sites
• Drive go-live milestones and post-deployment success
• Collaborate with engineering and data science teams

Conhecimentos

AI/ML experience

Presales experience

Storytelling

Client engagement

Python

Ferramentas

LangChain

LlamaIndex

HuggingFace

AWS

Azure

GCP

Descrição da vaga

We are looking foraTrueAI Forward Deployed Engineer(as coined by Palantir!) preferablywithSupply Chain Domain Expertise.We are not looking for someone to run AIexperiments. We are looking for someone to take AI all the way — from firstconversation with a client to a system that runs in production and creates realbusiness value.

AI leadership role.

Anthrobyte buildsproduction-grade enterprise AI systems for global clients acrossSupplyChains & Enterprise Solutions. As we scale, we need an AI leader withSupply Chain Domain expertise who can hold the full journey: presales anddiscovery, solution design, consulting, and end-to-end development &deployment — all as one coherent capability.

This is less a traditionaltechnical role and more a seat at the client table. You will work directly withthe CTO, founding team, and enterprise clients to define how AI is scoped,architected, communicated, and delivered inside complex organisations. You willbe the person who walks into a room with a messy problem and walks out with asolution the client believes in — and then makes it real.

FOUNDINGROLE

AILead / Supply Chain Expertise

Own the full AIengagement journey in Supply Chain — presales, solution design, consulting,and forward deployment — as one coherent capability.

PrincipalAI & Solutions Lead

Grow intoexecutive-level technical leadership — shaping company strategy, IPdevelopment, and client transformation at scale.

Requirements

Own the solution. Drive it to production.

• — Lead the pre-sales and technical discoverysessions with enterprise and mid-market clients globally — understand theirpain points, data maturity, and AI readiness before anyone writes a line ofcode
• — Own the solution design for AI proposals: usecase scoping, high-level system design, data requirements, and ROI framing
• — Build and present compelling PoC demos,solution blueprints, and technical proposals in partnership with the commercialteam
• — Respond to RFPs and RFIs with technicallyrigorous and commercially sharp responses that win confidence
• — Act as a trusted AI advisor to clientstakeholders — CXOs, VPs of Operations, IT leaders — not just a technicalvendor on the call
• — Run workshops, AI readiness assessments, andvalue stream mapping sessions at client sites and remotely
• — Navigate ambiguous problem spaces and helpclients articulate what they actually want to solve with AI, and why it matters
• — Build long-term client relationships thattranslate into deepened engagements, referrals, and expanded mandates
• — Be deeply involved in deployment — not justdesign. Understand production constraints, integration complexity, and changemanagement realities
• — Collaborate with engineering and data scienceteams to ensure solution designs are buildable and delivered to the qualityclients expect
• — Drive go-live milestones, client acceptance,and post-deployment success metrics with accountability
• — Debug, iterate, and adapt: you own outcomes,not just deliverables. If something is broken, you fix it

Solution Design & Thought Leadership

• — Define AI architecture patterns for the firm:LLM orchestration, RAG pipelines, agentic workflows, multi-modal systems
• — Stay ahead on applied AI research andemerging frameworks; bring relevant signals back to the team before the marketdoes
• — Mentor junior AI engineers and consultants onboth client engagement craft and solution architecture rigour
• — Contribute to Anthrobyte's knowledge capital— case studies, whitepapers, internal playbooks, and reusable solutionaccelerators

The Growth Pathway

Demonstrateconsistent excellence and the scope expands. You will grow into principaltechnical leadership — shaping company strategy, representing AI at investorand board conversations, building and leading a growing solutions team, anddefining how AI transformation is delivered across every client engagement.This is not a title — it is a level of ownership that must be earned andcontinually reearned.

You operate across the fullstack — from model architecture to client boardroom. You simplify complexproblems without losing what makes them real, and you're as comfortablepresenting to a VP of Supply Chain as you are reviewing a model eval reportwith a data science team.

You Bring

• 5+ years of hands‑on AI/ML experience (LLMs,NLP, computer vision, or advanced analytics) in production
• Proven presales or solution consulting trackrecord — you win client confidence with credibility
• Strong storytelling: complex AI concepts madeaccessible to business audiences, without dumbing them down
• Global client exposure (US, Europe, MiddleEast, or SEA) and cross-cultural fluency
• Hands‑on with Python, LLM frameworks(LangChain, LlamaIndex, HuggingFace), and cloud AI (AWS, Azure, GCP)
• Experience designing end-to‑end AI systems:ingestion, pipelines, deployment, monitoring, and iteration
• Comfort in ambiguity and 0→1 environments;startup or early‑stage experience preferred

Bonus Signals