AI FDE - Enterprise Solutions

Anthrobyte; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Anthrobyte seeks an AI Leader with deep supply chain expertise to own the full AI engagement journey—from presales and design to deployment. This founding role combines client leadership with hands‑on delivery across enterprise projects in Supply Chain and Enterprise AI solutions.

You will work directly with the CTO and clients to scope AI, architect solutions, and deliver real business value at scale, shaping company strategy and IP development as the business grows.

Qualifications

• 5+ years of hands-on AI/ML experience in production.
• Proven presales or solution consulting track record.
• Strong storytelling to explain AI concepts to business audiences.
• Global client exposure 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, iteration.
• Comfort in ambiguity; startup or early‑stage experience preferred.

Responsibilities

• Lead pre-sales and technical discovery with global enterprise clients.
• Own solution design for AI proposals: use case scoping and ROI framing.
• Build and present PoC demos, blueprints, and technical proposals with commercial team.
• Respond to RFPs/RFIs with rigorous, business-aware responses.
• Act as trusted AI advisor to client stakeholders, run workshops and value mapping.
• Drive deployment readiness and alignment with client expectations.

Skills

Hands-on AI/ML experience

Presales / solution consulting

Storytelling for business audiences

Global client exposure

Python / LLM frameworks / cloud AI

End-to-end AI system design

Comfort with ambiguity / startup vibes

Job description

We are looking for a True AI Forward Deployed Engineer (as coined by Palantir!)preferablywith Supply Chain Domain Expertise. Weare not looking for someone to run AI experiments. We are looking for someoneto take AI all the way — from first conversation with a client to a system thatruns in production and creates real business value. A

AI leadership role.

Anthrobyte builds production-grade enterprise AI systemsfor global clients across Supply Chains & Enterprise Solutions. As we scale, we need an AI leader with Supply Chain Domain expertise who can hold the full journey:presales and discovery, solution design, consulting, and end-to-end development & deployment— all as one coherent capability.

This is less a traditional technical role and more a seatat the client table. You will work directly with the CTO, founding team, andenterprise clients to define how AI is scoped, architected, communicated, anddelivered inside complex organisations. You will be the person who walks into aroom with a messy problem and walks out with a solution the client believes in— and then makes it real.

FOUNDING ROLE

AI Lead / Supply Chain Expertise

Ownthe full AI engagement journey in Supply Chain — presales, solution design, consulting, andforward deployment — as one coherent capability.

Principal AI & Solutions Lead

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

Requirements

Own the solution. Drive it toproduction.

• Lead the pre-sales and technicaldiscovery sessions with enterprise and mid-market clients globally — understandtheir pain points, data maturity, and AI readiness before anyone writes a lineof code
• Own the solution design for AI proposals: use case scoping, high-level system design, datarequirements, and ROI framing
• Build and presentcompelling PoC demos, solution blueprints, and technical proposals inpartnership with the commercial team
• Respond to RFPs andRFIs with technically rigorous and commercially sharp responses that winconfidence

Consulting & Client Engagement

• Act as a trusted AIadvisor to client stakeholders — CXOs, VPs of Operations, IT leaders — not justa technical vendor on the call
• Run workshops, AIreadiness assessments, and value stream mapping sessions at client sites andremotely
• Navigate ambiguousproblem spaces and help clients articulate what they actually want to solvewith AI, and why it matters
• Build long-termclient relationships that translate into deepened engagements, referrals, andexpanded mandates

Forward Deployment & Technical Delivery

• Be deeply involvedin deployment — not just design. Understand production constraints, integrationcomplexity, and change management realities
• Collaborate withengineering and data science teams to ensure solution designs are buildable anddelivered to the quality clients expect
• Drive go-livemilestones, client acceptance, and post-deployment success metrics withaccountability
• Debug, iterate, andadapt: you own outcomes, not just deliverables. If something is broken, you fixit

Solution Design & Thought Leadership

• Define AIarchitecture patterns for the firm: LLM orchestration, RAG pipelines, agenticworkflows, multi-modal systems
• Stay ahead onapplied AI research and emerging frameworks; bring relevant signals back to theteam before the market does
• Mentor junior AIengineers and consultants on both client engagement craft and solutionarchitecture rigour
• Contribute toAnthrobyte's knowledge capital — case studies, whitepapers, internal playbooks,and reusable solution accelerators

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 re‑earned.

You operate across the full stack — from model architecture to client boardroom. You simplify complex problems without losing what makes them real, and you're as comfortable presenting to a VP of Supply Chain as you are reviewing a model eval report with 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 track record — you win client confidence with credibility
• Strong storytelling: complex AI concepts made accessible to business audiences, without dumbing them down
• Global client exposure (US, Europe, Middle East, or SEA) and cross‑culture 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