Senior AI/ML Solution Architect - Generative AI & Agentic Systems

Ovii's Interpretation of the Role

Flentas seeks a senior AI/ML Solution Architect to design and deliver enterprise‑scale generative AI and agentic systems. The role blends deep LLM/SLM expertise with solution‑architecture leadership across cloud, edge and on‑prem environments.

Role Snapshot

• Design enterprise‑scale generative AI solutions
• Architect agentic systems using LLMs and SLMs
• Lead integration via APIs, event‑driven pipelines and Model Context Protocol
• Optimize model performance, cost and latency across cloud, edge and on‑prem
• Define fine‑tuning, compression and quantization strategies
• Collaborate with product and engineering stakeholders

Must-Have Requirements

• LLMs (GPT‑4, Claude, LLaMA)
• SLMs (Phi‑3, Gemma, TinyLlama)
• Agent frameworks (LangChain, LangGraph, Semantic Kernel, Agno)
• Retrieval‑Augmented Generation
• Fine‑tuning techniques (LoRA, QLoRA, DoRA, prompt‑tuning)
• Model compression & quantization
• Cloud AI platforms (AWS, GCP, Azure)
• API development (REST, gRPC, GraphQL)
• Event‑driven architecture (webhooks, message buses)
• Security & authentication (SSO/OIDC)
• ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers)
• Containerization & orchestration (Docker, Kubernetes)
• Technology and software development
• Generative AI (LLMs/SLMs)
• Enterprise solution architecture

Nice-to-Have Signals

• Master's or PhD in Computer Science, AI, ML or related field
• Published research or open‑source contributions
• Multi‑modal or cross‑modal model experience
• MLOps and model lifecycle management
• Regulatory compliance knowledge (GDPR, AI Act)
• Cloud AI certifications (AWS/GCP/Azure)
• Federated learning experience
• Few‑shot / zero‑shot learning techniques
• Academic research or open‑source contributions
• Multi‑modal AI
• Regulatory compliance
• Master's or PhD in Computer Science, AI, Machine Learning or related field
• AWS/GCP/Azure AI/ML certifications

Work Setup

• Location: Pune, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Certifications
• Travel
• Coding test
• Portfolio
• Cover letter

What You'll Likely Work On

• Design and architect scalable agentic solutions leveraging advanced LLM capabilities
• Implement Model Context Protocol integrations to connect AI models with enterprise services
• Build multi‑agent orchestration and context‑memory management for complex workflows
• Develop and optimize Retrieval‑Augmented Generation pipelines for fast knowledge access
• Create end‑to‑end fine‑tuning, compression and quantization workflows for both LLMs and SLMs
• Engineer cloud‑native inference pipelines and edge/on‑prem deployment strategies
• Design secure, standards‑based APIs (REST/gRPC/GraphQL) and event‑driven architectures
• Establish model selection, evaluation and cost‑optimization frameworks for large‑scale AI deployments

Good Fit If You Have

• Proven record delivering AI solutions at enterprise scale
• Strong communication and stakeholder‑management abilities
• Experience navigating AI regulatory compliance (GDPR, AI Act)
• Ability to evaluate and select appropriate models for varied workloads
• Comfort working across cross‑functional teams and rapid‑iteration environments