AI-Enabled Solution Architect

12 - 18 years

45 - 70 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

AI-Enabled Solution Architect - Data Modernization, GenAI & Business Impact

AI-Enabled Solution Architect

Youll not only shape cutting-edge architectures but also lead and inspire multidisciplinary teams, helping to develop the next generation of technical leaders who carry our depth of expertise into complex client environments. You'll operate at the intersection of technology and business, translating emerging capabilities into practical, high-impact solutions.

Job Responsibilities

1 Architect scalable, modular platforms that integrate modern data engineering with GenAI and Agentic AI capabilities.

2 Design and build end-to-end ingestion, transformation, and classification pipelines across structured and semi-structured data sources (e.g., Excel, JSON).

3 Implement RAG (Retrieval-Augmented Generation) pipelines using intelligent chunking strategies and multi-modal retrieval (e.g., BM25, dense vector search, graph-based, structured data, and vision-based inputs).

4 Drive data quality through embedded validation, monitoring, and automated reporting frameworks.

5 Enable in-context learning and enterprise-scale agent design using different prompting techniques (like ReAct, Tree-of-Thoughts, Reflexion, or hybrid reasoning patterns) for automation, insight generation, and decision support.

6 Lead exploratory data analysis (EDA), dynamic source classification, and ML model integration for advanced analytical and operational use cases.

7 Mentor and grow a high-performing team of architects, engineers, and analysts—fostering innovation, cross-functional collaboration, and delivery excellence.

8 Champion AI and data architecture as strategic enablers of business transformation—linking technology decisions directly to measurable client outcomes.

9 Team collaboration: Collaborate effectively with cross-functional teams to understand their data requirements and provide data modelling expertise as needed.

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Requirements

  • Programming & APIs:

    PySpark, Python, FastAPI, FastMCP, SQL, OAuth2
  • GenAI & Agentic Tools:

    RAGAS, Langfuse, LangGraph, Llamaindex, Vector Databases (FAISS, PGVector, Weaviate, AWS Bedrock, Azure AI Search)
  • AI Architectures:

    Retrieval-Augmented Generation, In-Context Learning, Agent Design, Function Calling, LLM Fine-Tuning & Adaptation Strategies
  • Data Engineering:

    Real-time ingestion pipelines, transformation logic, schema evolution, semi-structured data workflows
  • Data Analytics & Quality:

    Exploratory Data Analysis, advanced classification, data quality reporting and observability
  • Enterprise Integration:

    Secure API architecture, user feedback loops, instrumentation with Langfuse for traceability, MLOps and LLMOps frameworks to operationalise and govern ML/LLM pipelines across environments
  • Excellent analytical and problem-solving skills

    , with the ability to understand complex data relationships.
  • Strong communication and interpersonal skills

    , with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Prior experience in mentoring and guiding junior team members is a plus

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Ideal Background

  • Proven experience designing and scaling GenAI-enabled and data-driven architectures.
  • Strong grounding in software engineering principles and AI/ML enablement.
  • Demonstrated ability to lead, mentor, and grow cross-functional technical teams.
  • Track record of delivering innovative, scalable solutions that drive clear business value.
  • Passion for shaping intelligent systems and applying emerging technologies to solve real-world challenges.

ABOUT US: OUR WORKPLACE IS FUN AND FAST-PACED

We are Cervello. We believe in the power of connected data. We are laser focused on helping organizations harness the interconnectedness of digital, data and decision-making. We are problem solvers and builders focused on helping our clients win with data. Our culture is cool and innovative. Our environment is casual and conducive to collaboration and problem solving.We take our work seriously but not ourselves.It’s the perfect balance of freedom and accountability. If you want to be part of something great – join us!

Equal Employment Opportunity and Nondiscrimination

Cervello prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our teams, and our clients. Cervello aims to build diverse capabilities to help our clients solve their most mission critical problems. Cervello is committed to building a diverse, unbiased, and inclusive workforce. Cervello is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information, or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in analytics and consulting are encouraged to apply.

Revised 23/7/2025

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