Architect - Product and Platform Engineering (India)

Architect - Product and Platform Engineering (India)

02 Aug
|
Altimetrik
|
India

02 Aug

Altimetrik

India

- Job ID: 858010

- 5 - 30 Years

- 1 Opening
- Pune

Role description

JD — AI Solution Architect (Fintech · Web, Mobile & Agentic)

Role

The AI Solution Architect turns business goals into secure, scalable AI/ML and agentic solutions: reference architecture, integration, and governance—with payments-aware risk discipline.

Experience: 12–15 years in software/solution architecture; solid recent exposure to GenAI, agents, and production integrations.

Responsibilities

Area

Expectations

AI & agentic design

End-to-end solutions: LLM + tools (e.g. MCP-style),RAG/memory where grounding helps, guardrails, durable workflows (state, HITL, idempotency for multi-step flows).

Strategy & stack

Prioritize high-value use cases; define cloud/hybrid targets (AWS and/orAzure as applicable),model-agnostic patterns, cost/latency trade-offs.

Integration

APIs and events for web, mobile, and agentic clients;goal-oriented machine-facing contracts alongside traditional channels; integration withCRM (e.g. Salesforce) and core platforms.

Security & access

AuthN/AuthZ for users and automated actors (agents, services): least privilege, audit,



secrets,no LLM database direct access—tools/APIs only.

Operations

Observability for quality, latency, cost, abuse; evaluation and improvement loops (not one-off launches).

Compliance & ethics

Secure development, data minimization, alignment withfintech/regulatory expectations for AI use.

Evolution

Monolith modular/API-first roadmaps (strangler, bounded contexts) includingagent-ready surfaces.

Technical profile

- AI/ML & agents: Practical depth with examples such as PyTorch / TensorFlow (classical ML), LangChain / LangGraph / LlamaIndex or equivalent (orchestration & RAG), MLflow or cloud ML ops where used.
- Cloud: AWS (primary ask) and/or Azure; identity, networking, observability.
- Data: Yes — required: pipelines (batch/stream), quality, and timely data for models/agents—not optional at architect level.

Integration: REST/events, API gateways; Salesforce and enterprise systems in target-state designs alongside agents.

Skills

Artificial Intelligence, Cloud Security, Java + spring boot + Microservices, Salesforce, Solution Architect

📌 Architect - Product and Platform Engineering (India)
🏢 Altimetrik
📍 India

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