Skill required: Tech for Operations - Artificial Intelligence (AI)
Designation: AI/ML Computational Science Sr Manager
Qualifications:Any Graduation
Years of Experience:16+ years
Language - Ability:English(International) - Intermediate
About Accenture
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 784,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com
What would you do As a Senior Manager, you will lead the design, development, and deployment of cutting-edge AI solutions across multiple domains and industries. You will drive strategic AI initiatives, oversee the development of scalable AI platforms, and ensure alignment with business goals and responsible AI practices. You will be accountable for delivering high-impact AI assets and solutions that enhance operational efficiency, customer experience, and innovation. You will lead cross-functional teams in building enterprise-grade AI products, leveraging advanced technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and MLOps pipelines. You will also play a key role in shaping the AI strategy, mentoring senior talent, and contributing to Accenture's thought leadership through patents, publications, and client engagements. ________________
What are we looking for
- Expertise in AI/ML, Deep Learning, NLP, and Generative AI
- Proven experience with LLMs (e.g., GPT, Claude, Gemini) and prompt engineering
- Strong programming skills in Python and experience with frameworks like PyTorch, TensorFlow, Hugging Face Transformers
- Experience with AI orchestration frameworks (LangChain, LlamaIndex) and vector databases (e.g., Pinecone, FAISS)
- Deep understanding of MLOps practices and tools (MLflow, DVC, Kubeflow, SageMaker Pipelines)
- Experience deploying and scaling AI solutions on cloud platforms (AWS, Azure, GCP)
- Strong leadership, stakeholder management, and strategic planning capabilities
- Ability to drive innovation, influence AI strategy, and deliver business impact ________________________________________
- Architecting and scaling AI platforms and reusable components
- Designing and implementing CI/CD pipelines for ML workflows
- Leveraging ONNX, TensorRT, or Triton Inference Server for model optimization
- Implementing observability and monitoring using Prometheus, Grafana, Arize AI, or WhyLabs
- Applying responsible AI principles (bias detection, fairness, explainability, security)
- Driving cross-functional collaboration across product, engineering, and business teams
- Leading patenting, publications, and thought leadership in AI Roles and Responsibilities:
- Define and lead the AI engineering strategy and roadmap aligned with business objectives
- Architect and oversee the development of scalable, secure, and responsible AI solutions
- Lead and mentor high-performing AI teams across multiple projects and geographies
- Drive innovation through IP creation, research collaborations, and industry engagement
- Establish best practices for AI development, deployment, and monitoring
- Partner with clients and internal stakeholders to identify opportunities and deliver AI-driven transformation
- Ensure compliance with ethical AI standards and data governance policies, Any Graduation
