{"id":2770808,"url":"https://alion.io/job/sigma-infosolutions-principal-architect-ai-full-stack-development","title":"Principal Architect - AI & Full Stack Development","company":{"id":2577091,"name":"Sigma Infosolutions","domain":"sigmainfo.net","url":"https://alion.io/company/sigmainfo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ahmedabad, India","Jodhpur, India","Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":57},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"Progressive Delivery","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-06T10:54:42Z","employer_posted_date":null,"last_verified_at":"2026-10-06T10:54:42Z","board_verified":false,"closed_at":null,"days_open":11,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":11},"description":"Experience : 8 - 12 years.\n\nLocation : Bangalore / Ahmedabad / Jodhpur.\n\nRole Overview : \n\nWe are looking for a strong hands-on, forward-thinking Technical pioneer who can split their time between two critical mandates : \n\n- 50% Solution Architecture & Client-Facing Technical Engagement - Architect scalable full-stack, cloud-native, AI-enabled, and multi-tenant solutions across client engagements, with strong focus on security, scalability, configurability, robustness and long-term platform sustainability.\n\n- 50% AI Innovation & Strategic Growth - Lead AI/GenAI POCs, define reusable AI capabilities, and establish modern AI-assisted and Vibe Coding-based engineering practices that enable rapid, continuous, and cost-effective delivery.\n\nSolution Architecture & Technical Engagement (50%) : \n\n- Architect scalable full-stack applications using React, Node.js, Python, Go, and modern cloud-native technologies.\n\n- Design and evolve multi-tenant / multi-brand SaaS architectures with strong tenant isolation and configuration-driven capabilities, minimizing tenant-specific custom development.\n\n- Establish reusable, configuration-driven architecture for UI, workflows, business rules, validations, integrations, permissions, feature flags, and tenant-specific requirements.\n\n- Define API-first, event-driven, microservices/modular architectures and integration patterns based on business and scalability requirements.\n\n- Govern architecture quality and technical decisions, ensuring systems remain robust, scalable, secure, maintainable, and production-ready while supporting continuous onboarding of new tenant requirements.\n\n- Define Vibe Coding best practices covering requirement decomposition, architecture-first development, AI-assisted coding, context management, code review, testing, security validation, documentation, and human-in-the-loop governance.\n\n- Establish and govern code quality, engineering standards, architecture review, testing, security, and best-practice adherence across the complete development and deployment lifecycle.\n\n- Maintain strong hands-on awareness of the complete development and deployment lifecycle and guide teams on design patterns, coding standards, technical debt reduction, DevOps, and cloud-native engineering practices.\n\n- Define modern deployment architectures using CI/CD, Infrastructure as Code, containers, Kubernetes, GitOps, automated testing, and progressive delivery.\n\n- Support solution planning, architecture reviews, pre-sales, and client-facing technical discussions.\n\n- Act as a technical point of contact for quick customer/team handoffs, clarifications, and architectural alignment when required.\n\n- Collaborate effectively with engineering and technology teams across different geographies and locations.\n\n- Mentor senior and mid-level engineers and conduct technical design and architecture reviews.\n\nAI Innovation, POCs & Practice Building (50%) : \n\n- Architect and build AI/GenAI solutions including LLMs, model routing, embeddings, vector databases, hybrid search, RAG, tool/function calling, MCP, agent orchestration, guardrails, and AI observability.\n\n- Lead AI POCs from business use-case discovery and architecture through prototype, evaluation, integration, and production-readiness assessment.\n\n- Bring practical experience in implementing, deploying, and operationalizing AI/GenAI solutions in production environments.\n\n- Build reusable AI services and accelerators that can be consumed across multiple products, clients, and tenants rather than developing isolated project-specific solutions.\n\n- Define configuration-driven AI capabilities including tenant-specific models, prompts, tools, knowledge sources, policies, workflows, and AI features.\n\n- Define and govern the architecture of the semantic layer, ontology, knowledge representation, and related knowledge/semantic architecture required to support AI-enabled applications and intelligent workflows.\n\n- Drive Vibe Coding-based application development and establish reusable Agentic AI-assisted development workflows, templates, prompts, skills, coding agents, and engineering accelerators.\n\n- Identify opportunities to use AI agents across the SDLC, including requirement analysis, architecture, coding, code review, testing, debugging, documentation, migration, and DevOps automation.\n\n- Identify opportunities to apply AI to improve engineering productivity, automate business processes, reduce operational overhead, and create new client-facing capabilities.\n\n- Collaborate with leadership to define the AI technology roadmap, reusable accelerators, reference architectures, and AI Center of Excellence capabilities.\n\n- Track emerging AI technologies and evaluate their applicability across client engagements and industry-specific use cases.\n\nAdditional Responsibilities : \n\n- Identify business opportunities for modernization, platform reuse, AI-led engineering transformation, account expansion, and new AI-enabled business solutions.\n\n- Conduct internal workshops, guide upskilling plans, and help build a pipeline of AI-savvy engineers.\n\n- Participate in marketing and sales enablement, including client demos, case studies, and proposal support.\nSkills\nSolution Architect, Full Stack, Artificial Intelligence, Generative AI, Node.js, Python, Golang, Cloud, 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