Generative AI Solution Architect

2 days ago

Gurgaon, Haryana, India BigStep Technologies Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking a highly skilled
Generative AI Solution Architect
with 7+ years of experience having strong
backend development expertise,
to design, implement, and scale AI-powered solutions across enterprise use cases. The ideal candidate combines deep technical knowledge of backend systems and cloud architectures with hands-on experience in applying
Generative AI (GenAI)
technologies to real-world problems. This role involves working closely with business stakeholders, data scientists, and engineering teams to design scalable, secure, and high-performing AI-driven applications.

Key Responsibilities

  • Architect end-to-end Generative AI solutions, integrating LLMs, vector databases, APIs, and cloud-native services.
  • Define system architecture, data flows, and integration strategies between AI models and existing enterprise platforms.
  • Ensure solutions are scalable, cost-efficient, secure, and aligned with compliance requirements.
  • Lead backend development for AI-driven applications using modern frameworks (e.g.,
    Python,
    ).
  • Build and optimize APIs, microservices, and middleware for serving and integrating AI models at scale.
  • Implement best practices for caching, asynchronous processing, distributed computing, and high availability.
  • Work with LLMs (e.g., GPT, Claude, LLaMA, Gemini), fine-tuning and prompt engineering for domain-specific use cases.
  • Integrate vector databases (
    Pinecone, Weaviate, FAISS, Milvus, Redis
    ) for semantic search, RAG (Retrieval-Augmented Generation), and personalization.
  • Evaluate, benchmark, and recommend models, frameworks, and tools suitable for enterprise applications.
  • Partner with data scientists, ML engineers, and product teams to translate business requirements into technical architectures.
  • Mentor development teams on backend and AI integration best practices.
  • Serve as a technical advisor in client or stakeholder discussions.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 8+ years of experience in
    backend development
    with expertise in designing large-scale distributed systems.
  • Strong proficiency in
    RESTful APIs, GraphQL, microservices architecture, and event-driven systems
    .
  • Hands-on experience with
    cloud platforms (AWS, Azure, GCP)
    and containerization (Docker, Kubernetes).
  • Proven track record of integrating
    AI/ML solutions
    , ideally with
    Generative AI frameworks (LangChain, LlamaIndex, Hugging Face, OpenAI APIs)
    .
  • Deep understanding of
    databases (SQL, NoSQL, graph, vector)
    and data pipelines.
  • Familiarity with
    MLOps
    practices (CI/CD for ML, model deployment, monitoring).
  • Experience with
    retrieval-augmented generation (RAG)
    pipelines.
  • Exposure to
    enterprise security, data governance, and compliance frameworks
    (e.g., GDPR, HIPAA).
  • Knowledge of
    DevOps, infrastructure-as-code (Terraform, CloudFormation)
    .
  • Strong communication skills with the ability to engage both technical and non-technical stakeholders.
  • Prior experience as a
    solution architect, technical lead, or backend lead engineer
    .

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