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.