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Job Title: Principal Architect
Experience: 12 -18+ Yrs
MOW: Onsite
Notice Period - Immediate
Key Responsibilities
️ Architecture & Systems Design (Primary)
Own end-to-end system architecture across:
Web platforms
Mobile apps
APIs & integrations
AI pipelines & agents
Design scalable, modular, multi-tenant systems
Define architectural standards, patterns, and guardrails
Review and approve critical design and tech decisions
Ensure systems are secure, performant, and cost-efficient
AI & Applied Intelligence (Core Focus)
● Architect and implement production-grade AI systems, including:
○ LLM integrations (OpenAI, Anthropic, open-source)
○ Retrieval-Augmented Generation (RAG)
○ Vector databases & embeddings
○ AI agents and orchestration workflows
● Drive AI use cases such as:
○ Intelligent search & recommendations
○ AI copilots & assistants
○ Workflow automation
● Optimize latency, cost, reliability, and observability of AI systems
● Stay current with AI advancements and translate them into real business value
Engineering Execution & Quality
● Remain hands-on with code and system design
● Lead architecture reviews and complex implementations
● Set standards for:
○ Code quality
○ API design
○ Database modeling
○ Testing and monitoring
● Reduce technical debt while maintaining delivery speed
Technical Leadership & WFO Collaboration
● Mentor senior engineers and tech leads
● Act as technical decision-maker across teams
● Collaborate daily with Product, Design, and Business teams on-site
● Guide hiring decisions for senior engineering roles
️ Required Technical Expertise
AI & Systems (Must-Have)
● Deep experience with LLMs and applied AI
● RAG architectures, vector databases (Pinecone, Weaviate, Qdrant, etc.)
● AI agents, tools, and orchestration frameworks
● Prompt engineering, evaluation, and guardrails
● Experience shipping AI features to production
Core Engineering Stack
● Frontend: React, Next.js, React Native
● Backend: Node.js (NestJS / Express / Hono)
● Databases: PostgreSQL, MySQL, Redis
● APIs: REST, WebSockets, GraphQL (nice to have)
● Cloud & DevOps: AWS / GCP, Docker, CI/CD, IaC
● Auth & Payments: OAuth, JWT, Stripe or similar
Job ID: 139755923
Skills:
bedrock , Enterprise Architecture, Togaf, Generative AI, Foundry, Agentic AI, zachman, AWS SageMaker, Google Vertex AI, AI governance models, Azure AI Studio, compliance frameworks
Skills:
Ml, cloud security, Cloudformation, Containers, Scalability, Gcp, Terraform, Load Balancing, Cloud Networking, Azure, Kubernetes, AWS, CI CD Pipelines, Infrastructure as Code, VPCs, Ai, Service Mesh, DevOps Practices, operational analytics, networking architecture, Cost Optimization, intelligent automation, observability
Skills:
Distributed Systems, Data Modeling, Spring Boot, Microservices, API Design, Python, AWS, Java, Express, Node.js, Django, Gcp, Azure, Go, Open Source Software Frameworks, Gen AI Technologies, Vector Databases, Event-Driven Architectures, LangChain, Performance Optimization, Anthropic APIs, Infrastructure-as-Code Tools, Cloud-Native Architectures, Security Best Practices, OpenAI, LlamaIndex
Skills:
Docker, Kubernetes, Devops, Gcp, Cloud
Skills:
Ml, S3, AWS Glue, Apache Spark, Emr, Redshift, Sql, Rfi, Data Warehousing, Rfp, Python, Solutioning, Data Lakes, Ai, AWS Data Platforms, Modern Data Architecture, Security, Enterprise Data Governance, Lakehouse, Proposal Management, Athena, CoE Engineering Practice Building Exposure, Advanced Analytics Enablement
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