GEN AI Technical Architect

1 month ago

Chennai, India Cognizant Technology Solutions Full time

 

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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