Data Engineer with AI capabilities

Aligned Automation; Pune District; Presencial; INR 4.000.000 - 7.000.000; Jornada completa

Descripción de la vacante

Aligned Automation seeks a hands-on technical lead who can architect and deliver data and AI solutions end-to-end. You will own the architecture, UI/UX and backend services, lead a multi-member delivery team, and set data product standards aligned with data mesh principles.

You will build AI agents using LangGraph, LangChain and related patterns; design explainable readiness, governance layers, and scalable pipelines while collaborating with clients to turn requirements into robust architectures.

Formación

• 14 years of experience in data engineering and hands-on AI agent development.
• Proven track record architecting enterprise data solutions and leading teams.
• Degree in computer science, engineering, or related field, or equivalent experience.

Responsabilidades

• Architecture: Own the end-to-end architecture of data and AI solutions, including the UI/UX and backend services.
• Standards: Define data product and datacontract standards aligned with data mesh principles.
• AI agents: Build AI agents and LLM applications using open-source frameworks and patterns.
• Agent engineering: Deliver reliable structured outputs, tune prompts, measure agent quality, and deploy and run agents at scale using DataRobot.
• AI readiness: Design explainable readiness frameworks with clear dimensions, rules, scoring and remediation guidance.
• Semantic layer: Understand and build ontologies, knowledge graphs, glossaries and taxonomies aligned to DCAT and PROV-O.
• Data engineering: Build data models, pipelines and governance integrations, and enforce quality and lineage standards.
• Performance: Diagnose and fix performance and scalability bottlenecks across data and AI pipelines within agreed SLAs.
• Leadership: Lead and mentor the team, plan capacity, review designs and code, and own delivery to production.
• Stakeholders: Turn requirements into an architecture and a backlog, and present points of view and designs to clients.

Conocimientos

AI and LLM

Data governance

Semantic technologies

Integration and security

Leadership

Educación

Degree in computer science/engineering or related field

Herramientas

HashiCorp Vault

Snyk

SonarQube

Dynatrace

Descripción del empleo

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.