AI Solution Architect (LLM & Generative AI)

Greetings from Veltris!

chiranjeevi.dhoradla@veltris.com

• Role:

  AI Solution Architect (LLM & Generative AI)

• Experience:

  13+

• Location:

  Hyderabad / Remote

• Shift Timings:

  UK Timings (12/1 PM to 9/10 PM IST) or General Timings

• Notice Period:

  0-15 Days/30 Max (Due to project dependency)

• No. of open positions: 1

Job Summary:

Key Responsibilities:

• Define end-to-end architectures for LLM-powered applications, including retrieval-augmented generation (RAG), agentic workflows, and multi-model orchestration.
• Engage with clients and stakeholders to understand business objectives, assess AI feasibility, and design fit-for-purpose solutions.
• Select and evaluate foundation models, open-source and proprietary, and decide between prompt engineering, fine-tuning, and retrieval strategies based on cost, latency, accuracy, and risk.
• Design robust evaluation frameworks, guardrails, and monitoring to ensure quality, safety, and reliability of AI systems in production.
• Architect scalable, secure, and observable AI platforms on cloud environments such as AWS, Azure, or Google Cloud.
• Establish best practices for responsible AI, including data privacy, security, governance, bias mitigation, and compliance.
• Provide technical leadership and mentorship to engineers, data scientists, and ML engineers across projects.
• Create reference architectures, proofs of concept, and technical documentation, and present solutions to both technical and executive audiences.
• Track emerging research and technologies, and assess their applicability to client and internal use cases.

Preferred candidate profile:

• Published research or patents in machine learning, natural language processing, or generative AI.
• Experience with LLMOps and MLOps practices, including model serving, evaluation pipelines, observability, and versioning.
• Experience building multi-agent systems with planning, memory, and tool-use capabilities.
• Familiarity with model optimization techniques such as quantization, distillation, and efficient inference.
• Experience with distributed data and streaming technologies such as Kafka, Spark, or Flink.
• Domain experience in healthcare, communications, manufacturing, or technology.
• Cloud or AI certifications from AWS, Azure, or Google Cloud.

Basic Qualifications:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical discipline.
• 10+ years of experience in software engineering, data, or AI/ML, with at least 5 years in an architecture or technical leadership role.
• 3+ years of hands-on experience building and deploying solutions with large language models (for example GPT, Claude, Llama, Mistral, or Gemini families).
• Strong experience with modern generative AI techniques: RAG, prompt engineering, fine-tuning, embeddings, vector databases, tool use, and agent orchestration (for example LangChain, LangGraph, or LlamaIndex).
• Proficiency in Python and experience with at least one additional general-purpose language such as Java, Go, or TypeScript.
• Proven experience designing cloud-native, distributed systems on AWS, Azure, or Google Cloud, including containers and CI/CD.
• Demonstrated ability to take AI solutions from concept to production, with attention to scalability, latency, cost, and reliability.

Key Skills

• LLM, Generative AI, RAG, Agentic AI, Prompt Engineering, Fine-tuning, Embeddings, Vector Databases, LangChain, LangGraph, LlamaIndex, GPT, Claude, Llama, Mistral, Gemini, Python, Solution Architecture, AI Architecture, MLOps, LLMOps, AWS, Azure, GCP, Cloud Native, Microservices, CI/CD, Responsible AI

Perks and benefits:

• Health Insurance
• Meal Card
• Internet/Mobile Allowance
• Elite Bonuses

Regards

Chiranjeevi