Job Title

Job Descriptions Responsibilities :• Lead and mentor a team of solutions engineers to deliver high-quality solutions to clients. • Collaborate with sales and product management teams to translate customer needs into technical solutions. • Design and architect innovative data, AI and software solutions that align with client goals and industry standards. • Conduct technical presentations and demonstrations for clients to showcase our solutions. • Manage the end-to-end solution development process, ensuring timely delivery and client satisfaction. • Facilitate workshops and meetings to gather requirements and foster strong client relationships. • Stay updated with industry trends and emerging technologies in the domains of data, AI and software engineering to continuously enhance our offerings. Requirements: • Overall experience of 15years+ is required. Proven experience of 8years+ in solutions engineering or a similar technical role within the IT (data, AI, software) industry. • Strong understanding of Enterprise software development processes and technologies, including data, AI, cloud computing and automation. • Excellent communication and interpersonal skills with a friendly demeanor. • Ability to lead and inspire a team, fostering a culture of collaboration and continuous improvement. • Strong analytical and problem-solving skills to address complex client challenges. • Experience working with cross-functional teams and engaging with diverse stakeholders.Job Descriptions :• A degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Preferred Skills • Data - data architecture and data management architecture, design and implementation at Enterprise scale on cloud with preference for Databricks or Snowflake. Includes building data pipelines for data warehouses, real-time events and data services/APIs. • AI - understanding of AI fundamentals across machine learning, NLP, Computer Vision, Graph Analytics, Generative AI including developing and deploying AI solutions preferably at large Enterprises. • Cloud - AWS, GCP or Azure including architecting, designing, developing and implementing cloud solutions. • Gen AI - hands-on experience building solutions using Large Language Models, LLM frameworks, Agents and agentic frameworks including building with Python-specific libraries. Experience with closed and open source models and fine tuning of models is a plus. • Automation / Integration - hands-on experience designing and building APIs and integration middleware. Solid understanding of authentication/authorization schemes, service-oriented architecture, synchronous / asynchronous communication and orcchestration workflows.