Senior Lead Architect - Artificial Intelligence and Machine Learning

Job description

Sr Lead Architect - AI ML Area(s) of responsibility Director - Data science / AI \& ML Practice Lead As the Data Science and AI/ML Practice Leader, you will be at the forefront of driving innovation and implementing cutting-edge data science and artificial intelligence/machine learning (AI/ML) solutions for our clients. You will lead a team of skilled professionals, collaborating with clients to understand their unique challenges and delivering tailored solutions that leverage data-driven insights to drive business transformation. Key Responsibilities: 1. Strategic Leadership: o Develop and execute a strategic roadmap for the data science and AI/ML practice, aligning with the firm's overall objectives and market trends. o Identify opportunities for innovation and differentiation, leveraging data science and AI/ML to solve complex business problems and create value for Birlasoft clients. 2. Client Engagement: o Engage with clients to understand their business objectives, challenges, and opportunities, and collaborate with them to design and deliver customized data science and AI/ML solutions. o Serve as a trusted advisor, providing expertise on industry best practices, emerging technologies, and innovative approaches to leveraging data for competitive advantage. 3. Team Management: o Lead and mentor a team of data scientists, machine learning engineers, data engineers, and AI specialists, fostering a culture of collaboration, innovation, and excellence. o Provide guidance on project scoping, resource allocation, and technical direction, ensuring successful project delivery and client satisfaction. 4. Solution Development: o Oversee the design, development, and implementation of data science and AI/ML solutions, ensuring alignment with client requirements, industry standards, and best practices. o Collaborate with cross-functional teams to integrate data science and AI/ML capabilities into existing systems and workflows, maximizing impact and value for clients. 5. Thought Leadership and Innovation: o Stay abreast of industry trends, emerging technologies, and best practices in data science and AI/ML, and drive innovation through research, experimentation, and knowledge sharing. o Contribute to thought leadership initiatives, such as whitepapers, blogs, and presentations, showcasing the firm's expertise and thought leadership in data-driven solutions. 6. Pre-sales Support: o Collaborate closely with the sales team to understand the specific requirements and pain points of our clients, and develop tailored proposals and solutions. o Conduct client meetings and presentations to articulate the value proposition of our AI/ML/Gen AI services in addressing the unique challenges faced by the key industry sectors. o Work with the sales team to craft responses to RFPs (Request for Proposals) and RFIs (Request for Information) with customized solutions. 7. Go-to-Market Strategy: o Develop and execute go-to-market strategies specifically targeting the industry verticals, identifying key stakeholders, industry trends, and competitive positioning opportunities. o Collaborate with the marketing team to create targeted collateral, case studies, and thought leadership content highlighting our AI?ML/Gen AI expertise. o Actively participate in industry events, conferences, and forums to promote our AI/ML/Gen AI services and establish thought leadership within the sector. Qualifications: • Advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, Engineering, or related field. Experience Level Senior Level