Senior AI/LLM Architect _ Generative AI & Agentic AI
Lecan Solutions · Hyderabad · hybrid · Posted 36d ago
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About this role
Senior AI/LLM Architect Generative & Agentic AI
Experience: 5+ Years
Location: PAN India
Education: 15 Years Full-Time Education
Project Role
AI Infrastructure Architect / Large Language Model Architect
Job Description
We are looking for an experienced AI/LLM Architect with hands-on experience in Generative AI, Large Language Models (LLMs), and Agentic AI.
The role involves designing and building enterprise AI solutions using LLMs, RAG, AI Agents, Prompt Engineering, Vector Search, and Cloud AI technologies.
Key Responsibilities
- Design and develop Generative AI and LLM-based solutions
- Work on Agentic AI, AI Agents, RAG, and Prompt Engineering
- Build solutions using tool/function calling and agent orchestration
- Work with embeddings, vector search, and enterprise data
- Design and integrate AI solutions with enterprise applications and APIs
- Work on AI security, privacy, governance, and guardrails
- Perform testing, monitoring, and troubleshooting of AI solutions
- Work with cross-functional teams and provide technical guidance
Required Skills
- Generative AI
- Large Language Models (LLMs)
- Agentic AI / AI Agents
- RAG
- Prompt Engineering
- Embeddings / Vector Search
- Tool / Function Calling
- Python
- APIs and distributed systems
- AI/ML products and solutions
- Security, Privacy & Governance
Cloud Technologies
Azure: Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure Functions, Logic Apps, API Management, Microsoft Fabric
Google Cloud: Vertex AI, Gemini, Vertex AI Search, BigQuery, Cloud Run, GKE, Pub/Sub, Cloud Functions
Good to Have
- LangChain
- LangGraph
- LlamaIndex
- Haystack
- MLflow
- FastAPI
- Docker / Kubernetes
- Semantic Kernel
- Prompt Flow
- MLOps / Responsible AI
Mandatory Requirements
- 5+ years of experience
- Experience in Generative AI and/or LLMs
- Experience with Agentic AI / AI Agents
- Experience with RAG / Prompt Engineering
- 15 years of full-time education
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Skills
About Lecan Solutions
Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
About
Job Description Python Spark Developer
Position
Python Spark Developer
Experience
3 to 7 Years
Work Location
- Chennai – Sholinganallur SEZ
- Bangalore – RMZ Ecoworld, Bellandur
Job Summary
We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.
The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.
Key Responsibilities
- Develop and maintain scalable applications using Python and Apache Spark.
- Design and implement data processing pipelines using:
- Spark Core
- Spark SQL
- Spark Streaming
- Work extensively with the Hadoop Ecosystem for distributed data processing.
- Perform data manipulation, transformation, and analysis using Pandas.
- Develop and manage workflows using Apache Airflow.
- Write efficient and optimized SQL queries and Unix Shell scripts.
- Design low-latency, high-availability, and high-performance applications.
- Perform coding, testing, debugging, troubleshooting, and deployment activities.
- Monitor and optimize application performance, scalability, and usability.
- Implement automation and performance tuning solutions.
- Lead and mentor junior Python developers and provide technical guidance.
- Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.
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Career growth
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Work-life
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