About the Job

About Aligned Automation

At Aligned Automation, we live by our "Better Together" philosophy to build a better world. As a strategic service provider to Fortune 500 companies, we help digitize enterprise operations and drive impactful business strategies. Our purpose goes beyond projects—we strive to deliver meaningful, sustainable change that shapes a more optimistic and equitable future.

Our culture is deeply rooted in our 4Cs—Care, Courage, Curiosity, and Collaboration—ensuring that each employee is empowered to grow, innovate, and thrive in an inclusive workplace.

Roletype: Hands-on technical lead for architecture,development and team delivery

About the role

This role owns the architecture anddelivery of data and AI solutions that make enterprise data trustworthy andusable by AI. It combines solution architecture, hands-on data and AIengineering, and leadership of a multi-member delivery team.

Key responsibilities

- Architecture: Own the end-to-endarchitecture of data and AI solutions, including the UI/UX and backend servicesof the applications built on them.

- Standards: Define data product and datacontract standards aligned with data mesh principles, adopting open standardssuch as ODPS and ODCS.

- AI agents: Build AI agents and LLMapplications using open-source frameworks, protocols and patterns such asLangGraph, LangChain, the Agent2Agent (A2A) protocol, Model Context Protocol(MCP) servers and retrieval-augmented generation (RAG).

- Agent engineering: Deliver reliablestructured output, tune prompts, measure agent quality, and deploy and runagents at scale using DataRobot.

- AI readiness: Design explainablereadiness frameworks with transparent dimensions, rules,



scoring and remediationguidance.

- Semantic layer: Understand and buildontologies, knowledge graphs, glossaries and taxonomies aligned to W3C DCAT andPROV-O.

- Data engineering: Build data models,pipelines and governance integrations, and enforce quality and lineagestandards.

- Performance: Diagnose and fixperformance and scalability bottlenecks across data and AI pipelines withinagreed SLAs.

- Leadership: Lead and mentor the team,plan capacity, review designs and code, and own delivery to production.

- Stakeholders: Turn requirements into anarchitecture and a backlog, and present points of view and designs to clients.

Skills

- AI-led development: UI/UX development, backend engineering, agent development andtroubleshooting

- Data engineering: Python, SQL,PostgreSQL, SQL Server, semi-structured data, data modeling, pipelines, GitLab,CI/CD

- AI and LLM: Agent design, promptengineering, structured outputs and LLM evaluation

- Data governance: Data mesh architecture

- Semantic technologies: Ontologies,knowledge graphs, RDF, DCAT, PROV-O, taxonomies and glossaries

- Integration and security: Secretsmanagement (for example, HashiCorp Vault), security scanning (Snyk), codequality (SonarQube) and observability (Dynatrace)

- Leadership: Team leadership, deliverymanagement, capacity planning, stakeholder management and executivepresentations

Qualifications

- 14 years of experience in dataengineering, including hands-on work building AI agents and LLM applications.

- Proven record of architectingenterprise data solutions and leading teams to production.

- Degree in computer science,engineering or a related field, or equivalent experience.

📌 Data Engineer with AI capabilities (Pune)
🏢 Aligned Automation Services
📍 Pune