Solutions Architect

hands-on Solution Architect / Tech Owner

owning system design, guiding technical teams

Key Responsibilities

• Architect and deliver end-to-end GenAI platforms using

  AWS (ECS, RDS, Lambda, S3)

  with real-time

  LLM orchestration

  and RAG workflows.
• Design and implement

  Python microservices

  with Redis caching and vector search using

  Qdrant or Redis Vector

  .
• Integrate GenAI models and APIs (OpenAI, HuggingFace, LangChain,LangGraph), including containerized inference services and secured API pipelines.
• Lead frontend architecture using

  Next.js (TypeScript)

  with SSR and scalable client-server routing.
• Own infrastructure automation and DevOps using

  Terraform, AWS CDK, GitHub Actions

  , and Docker-based CI/CD pipelines.
• Manage and optimize

  data architecture

  across

  Snowflake

  , PostgreSQL (RDS), and S3 for both analytical and transactional needs.
• Knowledge of

  database pipeline and data quality

  , transitioning legacy systems to modular, cloud-native deployments.
• Champion

  engineering culture

  , leading design/code reviews, mentoring team members, and aligning technical priorities with product strategy.
• Ensure compliance, encryption, and data protection via AWS security best practices (IAM, Secrets Manager, WAF, API Gateway).

Ideal Candidate Profile

• Proven track record as a

  Solution Architect / Tech Lead

  on large-scale

  Data & AI products

  with GenAI integration.
• Deep knowledge of

  AWS cloud services

  , microservices architecture, and full-stack deployment.
• Strong understanding of

  ML lifecycle

  and productionization of

  LLMs / GenAI APIs

  .
• Practical experience with

  design thinking

  , breaking down problems from user need to system delivery.
• Excellent leadership, communication, and mentoring skills to drive team alignment and technical execution.