Associate Architect - (ML)

Gen AI Awareness and Strategy:

• Develop and maintain a strategic understanding of Gen AIs role in the SDLC , including potential opportunities for automation, optimization, and acceleration.
• Champion the adoption of Gen AI within sales, go-to-market (GTM) cycles, and client engagements .
• Identify key areas where Gen AI-powered solutions can streamline processes and enhance software engineering workflows .
• Stay up to date with the latest Gen AI research and industry trends, ensuring best practices are incorporated into solutions.

• Collaborate across multiple projects to identify Gen AI and ML strategies , even in the absence of a formal project charter.
• Lead and drive discussions with clients to understand their pain points and recommend AI-driven solutions .
• Actively contribute to strategy and operational meetings , sharing thought leadership on ML and Gen AI advancements.
• Work closely with Project engineering and product teams to implement Gen AI capabilities into production-ready solutions.
• Conduct proof-of-concepts (POCs) and feasibility studies to assess the viability of Gen AI models in solving business problems.
• Assist teams with ML model selection, training, and deployment , ensuring solutions meet business requirements.
• Mentor and guide junior engineers and data scientists in best practices for ML and Gen AI development .

Technical Expertise:

• Strong experience with traditional ML techniques (supervised/unsupervised learning, time series forecasting, NLP) and Gen AI models (LLMs, diffusion models, transformers).
• Proficiency in Python, TensorFlow, PyTorch , and experience with cloud-based ML services (AWS, GCP, Azure)..
• Architect and optimize scalable AI systems using microservices, containerization (Docker, Kubernetes), and distributed computing for high availability and cost efficiency.
• Design and develop AI agents with advanced memory management, tool integration, and performance scalability.
• Implement RAG pipelines , optimize vector databases (Pinecone, Weaviate, Chroma), and enhance LLM knowledge retrieval .
• Develop effective prompts using few-shot learning, chain-of-thought reasoning , and advanced prompt engineering techniques.
• Maintain high-quality technical documentation for architectures, APIs, and workflows.

Strategic Thinking & Innovation:

• Identify and assess new Gen AI opportunities in business processes.
• Strong analytical skills for ML model selection, scalability, and performance trade-offs .

Client Handling & Communication:

• Proven ability to lead client discussions, presentations, and workshops .
• Ability to translate complex ML concepts into business-friendly language .
• Strong collaboration skills, working cross-functionally with sales, product, and engineering teams .

• Prior experience in Gen AI solutioning for enterprise use cases .
• Familiarity with LLM fine-tuning, prompt engineering, and knowledge retrieval techniques .
• Experience in deploying ML solutions in production environments at scale.

• Be at the forefront of AI-driven innovation , shaping the next generation of Gen AI applications .
• Collaborate with top AI/ML experts in a dynamic and forward-thinking environment.
• Work on challenging and impactful projects that leverage cutting-edge AI technologies