1 day ago
Gurgaon, IndiaStaff+
Responsibilities
- Architect and deliver production GenAI solutions, including copilots, workflow automation, knowledge assistants, and agentic systems.
- Define reusable standards and services for agent development, orchestration, deployment, monitoring, MCP integration, governance, and lifecycle management.
- Establish enterprise patterns for access control, guardrails, evaluation, observability, cost and latency management, reliability, and scalability.
- Build and assess production-viable prototypes for emerging technologies and validate their feasibility, security, operability, and scale.
- Interpret business requirements and design integrated technical solutions across multiple systems and business areas.
- Provide technical oversight and coaching to multiple project teams and development squads, ensuring alignment with enterprise architecture, standards, and roadmaps.
- Coordinate architecture and design reviews, proof-of-concept exercises, technical assessments, and feasibility studies.
- Collaborate with enterprise architects, engineers, business teams, vendors, security teams, and operational service lines on technology strategy and delivery.
Requirements
- Master’s degree in Computer Science.
- 14 years of work experience, including 10 years designing and implementing business-critical applications in multi-region environments and 1 year of deep exposure to LLM-based business applications.
- At least 7 years of software development experience, preferably on multitenant or SaaS projects, plus experience working as a Solution Architect.
- Hands-on ability to build reference implementations, unblock teams, and use AI coding assistants such as Claude and Cursor safely in an enterprise environment.
- Experience with GenAI development platforms, agent patterns, RAG, tool use, planning, memory, guardrails, human-in-the-loop workflows, orchestration, deployment, monitoring, and incident response.
- Experience building or managing MCP ecosystems, including registries, access, versioning, performance, and cost controls.
- Advanced expertise in AWS, Azure, and Google Cloud, with knowledge of cloud-native technologies, Azure and AWS application services, and serverless solutions.
- Proficiency in multiple programming languages, including Python and TypeScript, and familiarity with software development lifecycles, CI/CD, Docker, Kubernetes, distributed systems, and application integration platforms.
- Experience with relational and NoSQL databases, data modeling, data integration patterns, architectural patterns, and styles.
- Advanced understanding of LLM concepts and frameworks, including agents, vector databases, graph databases, RAG, MoE, guardrails, HITL, RFHL, LlamaIndex, and Unstructured.
- Strong analytical, collaboration, communication, estimation, prioritization, mentoring, stakeholder-management, and continuous-learning abilities.
Tech Stack
Categories
About BCG
Boston Consulting Group provides management consulting, technology, and design services to large enterprises, governments, and nonprofits, helping with strategy, digital transformation, and operations. The firm works on a project-based, fee-for-service model and also incubates products and ventures through BCG X. Founded in 1963 and headquartered in Boston, it is a global partnership with offices worldwide.