AI/ML Solution Architect (GenAI Specialist)

Position: AI/ML Solution Architect (GenAI Specialist)

· Team: ML/GenAI Team

· Number of Resources Needed: 1

· Years of Experience: 3-5 Years

· Educational Background: BCA, MCA, B.Tech/B.E, M.Tech/ME

· Type: Full-time

· Expected Joining Date: ASAP

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: Master’s/Bachelor’s 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.