Description :

Role Summary :

We are looking for an AI/ML Solution Architect with expertise in Generative AI (GenAI) to help design, build, and deploy cutting-edge AI solutions.

Whether working in the rapid-paced innovation cycle of a startup or scaling production-grade GenAI systems for enterprise clients, you will serve as a key enabler of value-driven, secure, and scalable AI deployments.

Key Responsibilities :

- Collaborate with sales teams to understand customer requirements and provide expert guidance on ML/Generative AI solutions across a wide range of use cases : content generation, document automation, chatbots, virtual assistants, summarization, search, personalization, and more.

- Evaluate and integrate open-source LLMs (e.g., LLaMA, Mistral, Falcon), commercial APIs (e.g., GPT-4, Claude, Gemini), and cloud-native GenAI platforms (e.g., AWS Bedrock, Azure OpenAI).

- Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences.

- Design Retrieval-Augmented Generation (RAG), prompt engineering strategies, vector database integrations, and model fine-tuning where required.

- Translate business objectives into technical roadmaps, collaborating closely with product managers, engineers, and data scientists.

- Create prototypes and proof-of-concepts (PoCs) to validate solution feasibility and performance.

- Provide technical mentorship, best practices, and governance guidance across teams and clients.

Skills & Experience Required :

- Educational Background : Masters/Bachelors degree in computer science, Engineering, or a related field. (e.g., BCA, MCA, B.Tech/B.E, M.Tech/ME)

- 3-5 years of experience in AI/ML development/solutioning, with at least 1-2 years in Generative AI/NLP applications.

- Strong command of transformers, LLMs, embeddings, and NLP methods.

- Proficiency with LangChain, LlamaIndex, Hugging Face Transformers, and cloud AI tools (SageMaker, Bedrock, Azure OpenAI, Vertex AI).

- Experience with vector databases like FAISS, Pinecone, or Weaviate.

- Familiarity with MLOps practices, including model deployment, monitoring, and retraining pipelines.

- Skilled in Python, with working knowledge of APIs, Docker, CI/CD, and RESTful services.

- Experience in building solutions in both agile startup environments and structured enterprise settings.

Preferred/Bonus Skills :

- Certifications (e.g., AWS Machine Learning Specialty, Azure AI Engineer).

- Exposure to multimodal AI (text, image, audio/video) and Agentic AI.

- Experience with data privacy, responsible AI, and model interpretability frameworks.

- Familiarity with enterprise security, scalability, and governance standards.

Soft Skills :

- Entrepreneurial mindset with a bias for action and rapid prototyping.

- Strong communication and stakeholder management skills.

- Comfortable navigating ambiguity in startups and structured processes in enterprises.

- Team player with a passion for continuous learning and AI innovation.

What We Offer :

- The flexibility and creativity of a startup-style team with the impact and stability of enterprise-scale work.

- Opportunities to work with cutting-edge GenAI tools and frameworks.

- Collaborative environment with cross-functional tech and business teams.

- Career growth in a high-demand, high-impact AI/ML domain

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