C E I India - Presales AI Solution Architect - Enterprise AI Platform

Reporting to: Head of Pre-Sales / CPO (dotted line to Sales Leadership) Role Overview We are hiring an experienced Pre-Sales AI Solution Architect to work with enterprise customers on identifying, scoping, and architecting GenAI, Agentic AI, and AI platform opportunities. You will translate complex business problems into high-value AI solutions built on vendor-agnostic enterprise AI platforms (agents, workflows, orchestration, governance, and observability).

This is a customer-facing, hands-on technical pre-sales role. You will engage directly with prospects and customers, understand their business needs and pain points, design solution architectures, lead technical workshops, build prototypes/demos, support POCs, and craft winning proposals/RFPs. You must have deep prior experience building (not just designing) production-grade agentic and workflow platforms so you can credibly advise customers and avoid common pitfalls.

Core Requirement: You have previously architected and built (hands-on) an agent/workflow platform or framework with real production controls (governance, evaluation, observability, cost management). This experience is essential for credible pre-sales conversations at the enterprise level.

The solutions you design will leverage major vendor ecosystems (Microsoft/Azure, AWS, Databricks, Google, etc.) via clean abstractions, enabling rapid adoption without lock-in.

Key Responsibilities:

1) Customer Discovery & Solution Architecture:

- Lead technical discussions with customers to deeply understand business objectives, processes, data landscape, and constraints.

- Map customer needs to AI/GenAI capabilities: agents, multi-agent workflows, RAG, evaluation frameworks, governance, etc.

- Design end-to-end solution architectures that combine custom development, vendor services, and our platform offerings.

- Create high-quality solution diagrams, architecture documents, effort estimates, and ROI/business cases.

2) Hands-On Prototyping, Demos & POCs:

- Build rapid prototypes, interactive demos, and proof-of-concepts (often in customer environments) to validate solution fit.

- Own both architecture and implementation of reference components during pre-sales cycles.

Support the build of platform elements that support:

- Agent registries (roles, permissions, tool access, escalation rules)

- Workflow orchestration (state, retries, branching, approvals, audit trails)

- Tooling layer & evaluation/QA harnesses

- Observability, cost telemetry, and governance guardrails

3) Agentic Workflows + Orchestration (Production-Grade Advice):

- Architect production-ready agentic systems with multi-step reasoning, human-in-the-loop, deterministic workflows, and safe execution.

- Guide customers on patterns such as workflows as agents and agents executing workflows" while preventing ad-hoc implementations.

- Advise on stability as underlying vendor models and services evolve.

4) Governance, Controls, Security & KPI Framework:

Position and design first-class governance layers including:

- Policy/Guardrails (RBAC/ABAC, allow/denylists, approvals, audit)

- Reliability & Quality KPIs (success rate, containment, precision/recall, drift detection)

Cost/ latency governance and observability

- Help customers meet entaerprise requirements around security, compliance, data privacy, and auditability.

5) Vendor-Agnostic Platform Strategy:

- Design pluggable architectures that integrate Microsoft (Azure AI, Fabric), AWS (Bedrock, SageMaker), Databricks, and other providers.

- Recommend optimal make-vs-buy and core-vs-plugin decisions based on customer context.

6) Proposal, RFP & Deal Support:

- Contribute to or lead technical sections of proposals, RFPs, and SOWs.

- Participate in sales meetings, executive presentations, and negotiations on technical feasibility and differentiation.

- Work closely with Account Executives and Delivery teams for seamless handoff to implementation.

7) Productization & Knowledge Sharing:

- Convert successful customer solutions into reusable assets (templates, accelerators, reference architectures).

- Share best practices internally and with customers through webinars, whitepapers, and workshops.

Required Qualifications (Hard Requirements):

- 10+ years in software/solution architecture, with strong focus on AI/ML/GenAI platforms.

- 4+ years in pre-sales, solution architecture, or consulting roles focused on AI/GenAI/ML (critical).

- 2+ years hands-on building agentic or workflow platforms (orchestration, governance, evaluation, observability) using Microsoft, AWS, Databricks, or similar ecosystems.

- Proven experience delivering technical pre-sales activities: discovery workshops, architecture presentations, POCs, and proposal writing.

- Deep understanding of enterprise constraints: security, compliance, identity, data governance, cost control.

- Strong communication and storytelling skills - ability to speak both business and deep technical languages.

- Hands-on coding proficiency (Python, LangChain/LlamaIndex, Azure/AWS AI services, etc.).

What Success Looks Like (First 90-180 Days):

- Successfully support multiple qualified opportunities from discovery to closed-won.

- Deliver high-impact technical workshops and compelling solution architectures that advance deals.

- Build and maintain a library of reusable demos, accelerators, and reference architectures.

- First 2-3 customer POCs or pilot workflows go live with proper governance, evaluation, observability, and KPIs.

- Positive feedback from sales teams and customers on technical credibility and solution quality.