Position : Architect - Data and AI

Type of Employment : Full-Time

Purpose of the Position :

The Senior Data & AI Architect will lead the design and implementation of scalable, secure, and governed AI-driven data platforms on AWS, enabling advanced analytics, AI productivity tools, and next-generation agentic AI systems. This role blends cloud architecture, data engineering, AI system design, DevOps, and governance, with a strong emphasis on enterprise-grade solutions that deliver measurable business value. The architect will act as a technical authority, defining reference architectures, guiding engineering teams, and ensuring best practices across data management, AI workflows, security, and cloud FinOps.

Key Result Areas and Activities :

- Architect and deliver cloud-native AI and data platforms on AWS at enterprise scale.
- Design reusable data ingestion and processing frameworks supporting batch and streaming workloads.
- Lead implementation of agentic AI systems, RAG pipelines, and AI productivity enablers.
- Establish standards for data modeling, governance, quality, security, and FinOps.
- Drive CI/CD and Infrastructure-as-Code (IaC) adoption across data and AI pipelines.
- Mentor engineering teams and review designs, code, and architectural decisions.
- Partner with business stakeholders to translate requirements into scalable technical solutions.

Essential Skills :

- Experience designing and operating AWS based cloud architectures using S3, EC2, EMR, Lambda, and serverless frameworks, with exposure to secure, fault tolerant, and cost optimized designs.
- Proficiency in Python, SQL, PySpark, and Scala,



with experience optimizing distributed data processing workloads and implementing testing/validation frameworks.
- Working knowledge of open table formats and data representations such as Delta Lake, Apache Iceberg, Parquet, and JSON, including schema evolution and partitioning strategies.
- Hands on experience with cloud data platforms like Databricks and/or Snowflake, including query optimization and warehouse performance tuning.
- Understanding data modeling, data warehousing, RDBMS, Big Data ecosystems, and building semantic layers for analytics consumption.
- Familiarity with batch, streaming, event driven, and real time data architectures, including Lambda/Kappa models, metadata driven ingestion frameworks, and PII compliant designs.
- Exposure to data governance and cloud cost management, including data cataloging, lineage, quality checks, compliance, and FinOps practices.
- Experience or robust interest in Applied AI systems, including :
- LLM development and deployment (GPT 4 class, BERT, T5)
- RAG implementations using FAISS, Elasticsearch, LangChain, or LlamaIndex
- Agentic workflows using frameworks like Ray or RLlib
- Prompt engineering, response tuning, and safety guardrails




- Familiarity with modern AI platforms and tooling, such as Snowflake Cortex, Databricks Lakehouse AI / Genie, LangChain, MCP based architectures, Agentcore, and building APIs or services around AI workflows.
- Experience with CI/CD pipelines, Terraform / Infrastructure as Code, Git based workflows, and automated testing for data and AI systems.

Desirable Skills :

- Experience in the Media & Entertainment domain (preferred).
- Working knowledge of BI and analytics tools such as MicroStrategy, Amazon QuickSight, Power BI.
- Exposure to design thinking methodologies for user-centric solution design.
- Understanding front-end design concepts and UI/UX integration.
- Familiarity with Angular based UI integration patterns.

Qualifications :

- Bachelors degree in engineering, or related field.
- Minimum 11 years of experience across data engineering, cloud platforms, and solution architecture.
- Proven experience leading large-scale data and AI initiatives in enterprise environments.
- Strong stakeholder communication and architectural documentation skills.

Qualities :

- Strategic thinker with strong architectural judgment.
- Excellent communication skills across technical and non-technical audiences.
- Ability to lead and influence without direct authority.
- Strong mentoring mindset and commitment to technical excellence.
- Comfortable operating in fast-paced, multi-location, cross-functional teams.
- Results-driven, ownership-oriented, and continuous learning.

Location : Pune, Maharashtra, India

📌 InfoCepts - Senior Architect - Data & AI (India)
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