AI FDE Lead/Architect - Enterprise Solutions
Summary
Leadership-level AI Forward Deployed Engineer role at Anthrobyte in Hyderabad: own the full client engagement for enterprise supply-chain AI — presales and discovery, solution architecture, consulting, and driving LLM/RAG/agentic systems all the way to production using Python, LangChain/LlamaIndex, and AWS/Azure/GCP.
We are looking for
a True AI Forward Deployed Engineer (as coined by Palantir!) preferably with
Supply Chain Domain Expertise. We are not looking for someone to run AI
experiments. We are looking for someone to take AI all the way — from first
conversation with a client to a system that runs in production and creates real
business value.
— 01 · THE OPPORTUNITY
AI leadership role.
Anthrobyte builds
production-grade enterprise AI systems for 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 seat at the client table. You will work directly with
the CTO, founding team, and enterprise clients to define how AI is scoped,
architected, communicated, and delivered inside complex organisations. You will
be the person who walks into a room 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 Own the full AI
engagement journey in Supply Chain — presales, solution design, consulting,
and forward deployment — as one coherent capability. | GROWTH
TRACK · MERIT-BASED Principal
AI & Solutions Lead Grow into
executive-level technical leadership — shaping company strategy, IP
development, and client transformation at scale. |
Requirements
Requirements
02 · RESPONSIBILITIES
Own the solution. Drive it to production.
Presales & Solution Design
— Lead the pre-sales and technical discovery
sessions with enterprise and mid-market clients globally — understand their
pain points, data maturity, and AI readiness before anyone writes a line of
code
— Own the solution design for AI proposals: use
case 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 commercial
team
— Respond to RFPs and RFIs with technically
rigorous and commercially sharp responses that win confidence
· Consulting & Client Engagement
— Act as a trusted AI advisor to client
stakeholders — CXOs, VPs of Operations, IT leaders — not just a technical
vendor on the call
— Run workshops, AI readiness assessments, and
value stream mapping sessions at client sites and remotely
— Navigate ambiguous problem spaces and help
clients articulate what they actually want to solve with AI, and why it matters
— Build long-term client relationships that
translate into deepened engagements, referrals, and expanded mandates
· Forward Deployment & Technical
Delivery
— Be deeply involved in deployment — not just
design. Understand production constraints, integration complexity, and change
management realities
— Collaborate with engineering and data science
teams to ensure solution designs are buildable and delivered to the quality
clients 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 and
emerging frameworks; bring relevant signals back to the team before the market
does
— Mentor junior AI engineers and consultants on
both client engagement craft and solution architecture rigour
— Contribute to Anthrobyte's knowledge capital
— case studies, whitepapers, internal playbooks, and reusable solution
accelerators
✶ The Growth Pathway Demonstrate
consistent excellence and the scope expands. You will grow into principal
technical leadership — shaping company strategy, representing AI at investor
and board conversations, building and leading a growing solutions team, and
defining how AI transformation is delivered across every client engagement.
This is not a title — it is a level of ownership that must be earned and
continually re-earned. |
03 · WHO YOU ARE
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-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
Supply Chain AI · Forward Deployment · Presales / SE ·
LLMs & RAG · MLOps · Global Clients · IIT / IIM / Tier-1 · B2B SaaS AI ·
Manufacturing / Logistics