Engineering Lead (AI & Automation Products)

Dentsu Aegis Network Ltd.; India; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Merkle in Bengaluru seeks a Technical Architecture & Delivery Lead to own end‑to‑end architecture and delivery across multiple streams.

You will design data schemas in Postgres, lead Claude/API integration, and build automation, observability, and security controls. The role requires collaboration with directors, driving the engineering standards and multi‑tenant access controls.

Qualifications

• Experience leading architecture decisions across a multi‑product portfolio.
• Strong background in database schema design and API integration.
• Hands‑on with Python back‑end and React front‑end stacks; building CI/tests and observability.

Responsibilities

• Lead architecture & delivery lifecycle; own scope, timelines, and quality across workstreams.
• Design and own Postgres data schema underpinning the product with extensibility.
• Build and own Claude/API integration layer, including reliable extraction and parsing.
• Design automation workflows, queues, retries, and audit trails for AI‑driven processes.
• Implement multi‑tenant access control, secrets management, and third‑party DSP integrations.

Skills

Architecture design

API design

OAuth

RBAC

Observability

Python

React

FastAPI

Tailwind

PostgreSQL

Tools

PostgreSQL

FastAPI

React

Tailwind

Claude Code

Azure Key Vault

Job description

Job Description

Technical Architecture & Delivery Lead

• architecture decisions across the portfolio — schema design, API contracts, integration patterns, workflow orchestration, and when to integrate via direct API versus MCP (Model Context Protocol), weighing latency, control, security, auditability, and reusability tradeoffs
• Hold delivery accountability — scope, timeline, quality — across all active workstreams, in partnership with the Director who owns product requirements and prioritization
• Design and own the Postgres data schema underpinning the product (multi-table: pipeline data, access control, cost attribution, audit) — correctness and extensibility here is foundational, not incidental
• Build and own the Claude/API integration layer: system prompt design and testing, multimodal document ingestion for XLSX, DOCX, PPTX, and PDF via reliable extraction/conversion pipelines, structured output parsing, schema validation, and fallback handling
• Design practical automation workflows — background jobs, queues, retries, idempotency, human review points, run state, and replayable audit history for multi-step AI-assisted processes
• Build and own third-party DSP API integrations (e.g. DV360, TTD) — OAuth flows, structured data file formats, read/write scoping by phase
• Design and own secrets and credential management — API keys, OAuth credentials, Azure Key Vault or equivalent secrets manager; nothing in code or environment variables in source control
• Design and own multi-tenant access control — role-based permissions, client‑scoped data visibility, self‑service onboarding
• Design cost and usage attribution patterns — external API calls tagged and logged at the client and run level, feeding finance and program‑level reporting as the portfolio scales
• Review technical output against product requirements — flag when implementation doesn't match the requirement or the architecture is wrong for the problem

Team Leadership

Manage a team of junior and mid-level developers based in India — hiring input, onboarding, performance, growth planning

Run code reviews, pairing, and technical mentoring as a standing practice, not an occasional one

Set and enforce engineering standards: testing discipline, data validation, AI evaluation discipline, observability, and code quality bar

Standardize how the team uses Claude Code — establish shared conventions, prompt/context patterns, and reusable practices so the whole team improves its delivery quality, not just you

Run sprint‑level technical planning and unblock the team day to day; escape cross‑team blockers to the Director rather than letting them stall delivery

Build Execution

Build full‑stack applications end to end where needed: Python APIs (FastAPI or similar) and React/Tailwind front ends

Use Claude Code as a daily driver — both for personal output and as the standard tool your team is held to

Write tests, build data validation frameworks, and instrument observability across the pipeline, including prompt/model traces, structured‑output validation, latency, cost, and failure analytics

Build and maintain practical evaluation harnesses for AI behavior — golden test sets, prompt/model versioning, regression checks, failure taxonomies, and release gates for higher‑risk automations

Contribute to reusable component libraries and shared platform services that scale across clients and future portfolio products

Location: Bengaluru

Brand: Merkle

Time Type: Full time

Contract Type: Permanent

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences. Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact. Be a force for good. Sustainability is a vital part of our business and an important area of focus for our clients. We’re leading the way – helping to build a more sustainable planet. Dream loud. In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for their work and excitement for the future. Team without limits. We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way. Find out more about us Who we are Our Social Impact Our work