Data Engineer with AI capabilities

Aligned Automation Services; Pune District; On-site; INR 350,000 - 600,000; Full time

Job summary

Aligned Automation Services Pvt Ltd in Pune invites a hands-on Technical Lead for architecture, development and team delivery of data and AI solutions. You will guide end-to-end architecture, UI/UX and backend services to ensure trustworthy data for AI.

The role combines solution architecture, hands-on data and AI engineering, and leadership of a multi-member delivery team, with responsibilities spanning data models, governance, and performance.

Qualifications

• 14 years of experience in data engineering, including hands-on work building AI agents and LLM applications.
• Proven record of architecting enterprise data solutions and leading teams to production.
• Degree in computer science, engineering or a related field, or equivalent experience.

Responsibilities

• Own the end-to-end architecture of data and AI solutions, including the UI/UX and backend services of the applications built on them.
• Define data product and data contract standards aligned with data mesh principles, adopting open standards such as ODPS and ODCS.
• Build AI agents and LLM applications using open-source frameworks, protocols and patterns such as LangGraph, LangChain, the Agent2Agent (A2A) protocol, Model Context Protocol (MCP) servers and retrieval-augmented generation (RAG).
• Deliver reliable structured outputs, tune prompts, measure agent quality, and deploy and run agents at scale using DataRobot.
• Design explainable readiness frameworks with clear dimensions, rules, scoring and remediation guidance.
• Understand and build ontologies, knowledge graphs, glossaries and taxonomies aligned to W3C DCAT and PROV-O.
• Build data models, pipelines and governance integrations, and enforce quality and lineage standards.
• Diagnose and fix performance and scalability bottlenecks across data and AI pipelines within agreed SLAs.
• Lead and mentor the team, plan capacity, review designs and code, and own delivery to production.
• Turn requirements into an architecture and a backlog, and present points of view and designs to clients.

Skills

AI and LLM

Data governance

Semantic technologies

Integration and security

Leadership

Education

Bachelor's or Master's in CS/Engineering or related field

Tools

HashiCorp Vault

Snyk

SonarQube

Dynatrace

Job description

Aligned Automation Services Pvt Ltd | Full time

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 our4Cs-Care,Courage,Curiosity, andCollaboration-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 clear 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 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.