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    GEN AI Technical Architect - Chennai, India - Cognizant Technology Solutions

    Cognizant Technology Solutions
    Cognizant Technology Solutions Chennai, India

    1 week ago

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    OTHER
    Description


    Role



    Associate Director (Technical Architect)



    JOB DESCRIPTION



    Experience: Minimum 17+ years of experience in technology development or automation, with at least 5 - 7 years of dedicated experience in machine learning, AI, and particularly generative AI technologies.

    Role and Responsibilities


    • Define and oversee the execution of the organization's vision and strategy for generative AI technology, ensuring alignment with overall business objectives and driving industry leadership.


    • Lead, inspire, and further build a high-performing team of machine learning professionals, encouraging continuous learning and innovation at all levels.


    • Engage with senior executive leadership to establish and refine the company's generative AI roadmap, securing buy-in and resources for cutting-edge initiatives.


    • Spearhead the evaluation and strategic integration of state-of-the-art generative AI technologies, frameworks, and methodologies to maintain competitive advantage.


    • Cultivate a culture of excellence in innovation, fostering an environment that supports groundbreaking research and development within the generative AI space.


    • Oversee the development and deployment of sophisticated generative AI models and algorithms, ensuring they provide transformative solutions to critical business challenges.


    • Establish robust partnerships with leading research institutions, tech companies, and industry thought leaders to enhance organizational capabilities and knowledge.


    • Drive collaboration among various teams, including AI research scientists, data engineers, product managers, and business units, to ensure seamless execution of generative AI projects.


    • Set and uphold rigorous standards in data practices, model development, and algorithm performance to optimize efficiency and effectiveness.


    • Act as a principal technical advisor, enriching the organization's knowledge base and fostering an environment where mentorship and professional development are paramount.


    • Articulate complex generative AI concepts and project statuses to a range of stakeholders, ensuring clarity and alignment across technical and non-technical audiences.


    • Remain at the cutting edge of generative AI, machine learning, and broader technological developments, translating insights into strategic opportunities.


    • Proactively identify and address potential risks in generative AI projects, including ethical considerations, regulatory compliance, and data governance.


    • Work in close coordination with legal, compliance, and ethical teams to ensure that generative AI practices meet the highest standards of integrity and societal impact.

    Technical Skills


    • Deep expertise in generative AI algorithms and models, including commercial and open source LLM models.


    • Advanced proficiency in programming languages such as Python or R, and mastery over machine learning frameworks (e.g., TensorFlow, Pytorch, Keras).


    • Possessing exceptional expertise and practical experience in Generative AI frameworks, such as LangChain and LlamaIndex, as well as a comprehensive understanding of the various techniques and subtleties involved in developing applications based on Large Language Models (LLMs).


    • Comprehensive understanding of cloud computing and machine learning services across platforms such as AWS, Google Cloud, and Microsoft Azure.


    • Substantial experience and a broad exposure to code companion tools, demonstrating a robust proficiency in utilizing these supportive technologies to enhance coding efficiency and accuracy.


    • Strong familiarity with advanced containerization and orchestration technologies (Docker, Kubernetes) for scalable AI model deployment.


    • Strategic insight into data engineering and architecture, including expertise in building robust data pipelines, lakes, and warehouses.


    • A solid grasp of software development lifecycle best practices, including CI/CD pipelines, version control (e.g., Git), and automated testing.


    • Profound knowledge of NLP and computer vision, with hands-on experience in deploying models for complex language and visual tasks.


    • Proficient in architecting and proposing cloud-based generative AI solutions, with a deep understanding of cloud services and infrastructure (e.g., AWS, Azure, Google Cloud) that support scalable, high-performance AI workloads.


    • Demonstrated experience in leveraging cloud-native tools for machine learning lifecycle management, including model training, deployment, monitoring, and scaling to meet the dynamic needs of enterprise clients.


    • Significant experience with AI observability tools showcasing a strong understanding of monitoring and managing AI systems to ensure their performance and reliability.


    • Exceptional analytical abilities, capable of dissecting intricate datasets to derive strategic insights and drive impactful decisions.


    • In-depth awareness of data privacy, security, and ethical issues in AI, with the ability to translate these into organizational policies and procedures.


    • Outstanding leadership and communication skills, adept at team building, stakeholder engagement, and driving change across the organization.

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