Sr. Solutions Architect

Position: Sr. Solutions Architect Gen AI

Locations : Hyderabad OR Noida - 10 Positions

Experience : 15+ years

As a GenAI Enablement Specialist, you will play a crucial role in shaping the future of our services. You will collaborate closely with cross-functional teams to identify opportunities for GenAI integration, develop innovative solutions, and drive the adoption of these technologies across our organization.

Key Responsibilities:

- Identify opportunities for integrating GenAI into our service offerings and rearchitect existing internal and customer systems to leverage GenAI and AI technologies.- Develop innovative GenAI solutions in collaboration with cross-functional teams and customers.- Drive the adoption of GenAI technologies across the organization.

Skills and Qualifications:

- Domain Expertise: Proven experience in one or more of the following domains: software/product engineering, aerospace, automotive, digital manufacturing, life sciences, semiconductor, telecommunications, quality assurance, or field support.- Technical Proficiency: Solid understanding of Python, natural language processing, machine learning, vector databases, analytics, image processing, and the underlying technologies powering large language models.- LLM Skills: Strong foundation in large language models (LLMs) for both online and offline models (e.g., LLaMA2, Mistral, or similar base LLMs on Huggingface). Solid understanding of various fine-tuning and retrieval-augmented generation (RAG) techniques used on base LLM models.- Cloud Services: Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing data infrastructure both in public and private modes.- Data Preprocessing & ETL Tools: Skills for extracting meaningful information from large datasets, managing structured, semi-structured, and unstructured data, data wrangling, and feature engineering for GenAI applications. Hands-on experience with ETL tools like Apache NiFi, Talend, and Apache Airflow.- Containerization and CI/CD: Knowledge of containerization technologies (e.g., Docker, Kubernetes) including setting up CI/CD pipelines or deploying GenAI solutions in existing ones. Experience with deploying and orchestrating GenAI solutions in scalable production environments.- Communication & Presentation Skills: Excellent verbal and written communication skills, with the ability to convey technical concepts clearly and accessibly. Experience in delivering compelling presentations to both technical and non-technical audiences.- Content Creation Tools: Proficiency in tools for creating visually appealing and informative content, such as presentation software and document editors.- Flexibility: Ability to adapt to a dynamic environment, staying agile and responsive to evolving market needs.- Outcome-Oriented: Experience working toward measurable outcomes, with success metrics such as adoption rates, impact on key performance indicators, or efficiency improvements.- Industry Experience: Preference for candidates with substantial experience in GenAI, AI/ML, or similar fields, especially those with a record of successful large-scale GenAI implementations.- Training: Ability to train resources in GenAI tools and technologies based on solutions developed in-house or COTS for production usage.- Evangelization: Promote the adoption of our GenAI solutions across customer and delivery teams for production use.- Pilot/POCs: Develop or drive the development/customization of Pilot/POCs to meet customer requirements.- Consultancy: Assess or lead the assessment team to understand the customer’s current status and provide recommendations to meet their GenAI adoption objectives.

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