Senior Solutions Architect (AI/ML Projects)

withRemote

Pune District

Hybrid

INR 1,500,000 - 2,500,000

Full time

14 days+

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Benefits offered by this job

Laptop provided by the company

Job summary

A technology firm is seeking a Senior Solutions Architect in Pune to lead innovative AI/ML projects. You will design and guide AI solutions using advanced LLM technologies and mentor junior developers. The ideal candidate has 10–12 years of experience, including hands-on work with Generative AI. This full-time position offers a hybrid work environment and immediate availability.

Qualifications

10–12 years of experience, with 2–3 years in Generative AI/LLMs.
Bachelor's or Master's in a relevant field.
Certifications in Azure AI, AWS ML, or Google AI are a plus.

Responsibilities

Lead AI/ML and GenAI solution initiatives.
Design and develop cutting-edge AI solutions leveraging LLM models.
Architect scalable AI/ML and GenAI solutions.

Skills

GenAI experience

LLMs (OpenAI GPT, LLaMA, Mistral)

LangChain expertise

Hands-on with Python

Knowledge of NLP

Experience with Vector Databases

Proficiency with Azure AI

Education

Bachelor’s or Master’s degree in Computer Science or related field

Job description

Senior Solutions Architect (AI/ML Projects)

Location: Pune (Hybrid – 5 days working)

Timings: 9:00 AM to 6:30 PM

Laptop: Provided by the company

Joining: Immediate to before 15th November

Experience: 10–12 years (with minimum 2–3 years of hands‑on experience in Generative AI / LLMs)

Role Overview:

We are seeking an experienced and hands‑on AI Architect to lead AI/ML and GenAI solution initiatives. The ideal candidate will design, develop, and deliver cutting‑edge AI solutions leveraging LLM models (GPT, Llama, Mistral, etc.), Vector Databases, and LangChain. The role involves technical leadership, hands‑on coding, pre‑sales support, and guiding internal AI competency and product innovation.

Key Responsibilities:

Architect scalable, production‑grade AI/ML and GenAI solutions using LLMs, LangChain, and Vector DBs (FAISS, Pinecone, Chroma, Weaviate).
Fine‑tune LLMs (open‑source or proprietary) for diverse use cases.
Build pipelines integrating OCR/NLP with AI‑driven workflows.
Design modular and reusable codebases using Python and ML frameworks.
Create technical PoCs and solution blueprints for client proposals.
Develop ML/DL models including supervised, unsupervised, and NLP models.
Implement vector search pipelines using Retrieval‑Augmented Generation (RAG).
Build APIs, microservices, and deployment pipelines for AI models.
Optimize AI workflows on Azure, AWS, or open‑source platforms.
Guide and mentor junior developers and AI engineers.
Establish coding standards, best practices, and model review mechanisms.
Build internal AI/ML competency through training and centers of excellence.
Participate in technical discussions and discovery sessions with clients.
Translate business needs into scalable AI solutions.
Prepare proposals, solution decks, and demo prototypes.
Drive AI‑based product ideas from concept to MVP.
Define and evolve product technical architecture and roadmap.
Ensure scalability, maintainability, and performance of deployed models.

Required Skills:

Strong experience with GenAI, LLMs (OpenAI GPT, LLaMA, Mistral, Claude, etc.)
Expertise in LangChain, LlamaIndex, and orchestration frameworks
Hands‑on with Python, FastAPI/Flask, PyTorch/TensorFlow
Strong knowledge of NLP, OCR, Transformers, and Embedding models
Experience with Vector Databases (FAISS, Pinecone, Chroma, etc.)
Proficiency with Azure AI, AWS Sagemaker, GCP Vertex AI, Hugging Face, OpenAI APIs
Familiar with MLOps, CI/CD, and prompt engineering

Preferred Skills: