Experience – 8 Yrs
Location: GIFT CITY, Gandhinagar
Qualification: Bachelor's degree/M.Tech in Computer Science, Information Technology, Engineering
We are looking for a highly driven and hands-on Solution Architect who can independently design, evaluate, and drive complex technical solutions across AI/ML, cloud infrastructure, and enterprise systems.
This role is not limited to architecture documentation - you will be expected to think like a CTO, take ownership of ambiguous problems, and deliver practical, scalable solutions.
Key Responsibilities
- End-to-End Solution Design.
Translate business problems, RFPs, and client requirements into scalable technical architectures
Design systems involving microservices, cloud infrastructure, AI/ML pipelines, and data platforms
- Technical Decision Making
Evaluate trade-offs (cost, scalability, performance, time-to-market)
- Make independent decisions on tech stack, architecture patterns, and integrations
- AI/ML & Automation Use Cases
- Design solutions involving LLMs, RAG pipelines, OCR, and automation workflows
- Evaluate tools like Bedrock, SageMaker, OpenAI, open-source LLMs, etc.
- Drive AI-augmented engineering practices by integrating LLMs and automation into development workflows (e.g., code generation, test creation, architecture design, and documentation), and identify opportunities to improve team productivity using AI.
- Cloud & Infrastructure Architecture
- Architect systems with strong reliability guarantees, including high availability (HA), automated failover, backup strategies, and disaster recovery (DR) planning across multiple availability zones and regions/data centers.
- Design data layers involving MySQL, MongoDB, Elasticsearch, Redis, Kafka, ClickHouse, etc.
- Pre-Sales & RFP Support
- Analyze RFPs and define solution approaches
- Create architecture diagrams, effort estimations, and technical proposals
- Hands-on Problem Solving
- Debug architectural issues in production systems
- Work closely with engineering teams to unblock critical challenges
- Governance & Best Practices
- Define architecture standards, coding practices, and deployment strategies
- Ensure security, performance, and reliability across systems
Required Skills & Experience
- 8+ years of experience in software engineering, with 3+ years in architecture roles
- Strong experience with:
- Microservices architecture
- Cloud platforms (AWS/Azure/GCP)
- Distributed systems and high-scale applications
- Hands-on experience with:
- APIs, backend systems, and databases
- Kubernetes / containerized deployments
- Exposure to AI/ML systems (LLMs, RAG, NLP, CV) is a strong plus
- Strong understanding of high availability (HA), failover strategies, and disaster recovery (DR) planning (RTO/RPO, backups, replication, multi-region setups).
- Experience in handling enterprise clients and complex requirements
What We Are Looking For
- Ownership mindset - does not wait for instructions
- Strong problem-solving ability - can handle ambiguity
- Consultative thinking - goes beyond what is asked
- Execution focus - delivers workable solutions, not just ideas
- Ability to challenge assumptions - including those from leadership
