Enterprise Solutions Architect
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Key skills for this role
About the Role
L&T Technology Services seeks a CoPilot Expert to lead AI-powered copilot design and implementation across enterprise platforms. The role requires expertise in generative AI, LLMs, cloud ecosystems, and enterprise architecture to build scalable, secure solutions.
Key Skills for This Role
Responsibilities
- Lead the design, implementation, and optimization of AI powered copilots and intelligent assistant solutions across enterprise platforms.
- Combine expertise in AI/ML technologies, enterprise architecture, cloud ecosystems, and user centric design to build scalable, secure, and impactful copilots.
Requirements
- 10+ years of experience in enterprise architecture or solution architecture
- 3+ years working with AI/ML or generative AI systems
- Strong experience with Generative AI and Large Language Models (LLMs)
- Hands on expertise with AI frameworks such as LangChain, Semantic Kernel, AutoGen, or similar
- Experience with cloud platform Microsoft Azure AI / Azure OpenAI
- Knowledge of vector databases and semantic search technologies
- API integration and microservices architecture expertise
- Familiarity with prompt engineering, RAG architectures, and AI orchestration
- Experience with Python, JavaScript/TypeScript, or C#
- Understanding of enterprise security, identity management, and data governance
- Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
- Certifications in cloud platforms or AI technologies are a plus
Full Job Posting
Job Overview
- Seeking a highly skilled and innovative CoPilot Expert to lead the design, implementation, and optimization of AI powered copilots and intelligent assistant solutions across enterprise platforms.
- The ideal candidate will combine expertise in AI/ML technologies, enterprise architecture, cloud ecosystems, and user centric design to build scalable, secure, and impactful copilots that enhance productivity and business outcomes.
Technical Skills
- Strong experience with Generative AI and Large Language Models (LLMs)
- Hands on expertise with AI frameworks such as LangChain, Semantic Kernel, AutoGen, or similar
- Experience with cloud platform Microsoft Azure AI / Azure OpenAI
- Knowledge of vector databases and semantic search technologies
- API integration and microservices architecture expertise
- Familiarity with prompt engineering, RAG architectures, and AI orchestration
- Experience with Python, JavaScript/TypeScript, or C#
- Understanding of enterprise security, identity management, and data governance
Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, Engineering, or related field
- 10+ years of experience in enterprise architecture or solution architecture
- 3+ years working with AI/ML or generative AI systems
- Certifications in cloud platforms or AI technologies are a plus
- Available to join immediately
Key Technologies
- LLMs: GPT, Claude, Gemini, Llama
- AI Platforms: Azure OpenAI, Vertex AI, AWS Bedrock
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