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Director AI
Director AIRandstad India • Bengaluru, Karnataka, India
Director AI

Director AI

Randstad India • Bengaluru, Karnataka, India
6 days ago
Job description

Director Artificial Intelligence

Work Location : Hyderabad or Chennai (open to Bengaluru Mumbai Pune NCR)

Work Arrangement : Requires a minimum of 9 working days per month from the Chennai

office with the remaining days flexible to be worked from any of the other listed locations.

About the Role

We are seeking a technically accomplished leader to serve as Director Artificial

Intelligence within Acentra Healths AI Center of Excellence (COE). This role will provide

strategic input into enterprise AI initiatives working as a core member of the COE while

partnering with business lines across the organization. The Director will bring deep

expertise across machine learning generative AI and agentic AI with a focus on

architectural leadership model selection model tuning and ML Ops.

Key Responsibilities

AI Strategy & Vision

  • Contribute to the definition of Acentra Healths AI strategy as a member of the AI Center of

Excellence.

  • Partner with business lines to identify and prioritize high-value AI opportunities across
  • ML GenAI and agents.

    Team Leadership

  • Lead and mentor AI / ML engineers Data / BI engineers and full stack engineers within the
  • COE.

  • Establish best practices for coding experimentation and technical excellence.
  • AI Solution Development

    Direct the design tuning and deployment of advanced AI / ML models including :

  • LLMs & Multimodal Models : Frontier and open-source models instruction-tuned models
  • conversational AI and retrieval-augmented generation (RAG).

  • AI Agents : Agent-based systems leveraging OpenAIs Agents SDK and Model Context
  • Protocol (MCP) to support orchestration task automation and human-in-the-loop

    collaboration.

  • Predictive Modeling & Recommendation Systems.
  • MLOps & Productionization

  • Implement and support ML pipelines for preprocessing feature engineering model
  • training deployment and monitoring.

  • Ensure reproducibility and scalability using cloud-native services and frameworks (e.g.
  • AgentCore with AWS).

  • Manage CI / CD workflows leveraging Docker Kubernetes and AWS-native services.
  • Platform & Infrastructure

  • Collaborate with data engineering and IT to design scalable AI infrastructure.
  • Utilize AWS (SageMaker Bedrock AgentCore) with additional experience in Azure ML and
  • GCP as beneficial.

  • Optimize models for performance latency and cost efficiency.
  • Innovation & Applied Research

  • Stay at the forefront of emerging technologies such as generative AI agent frameworks
  • and reinforcement learning.

  • Foster a culture of applied innovation continuous learning and responsible AI adoption.
  • Expanded Technical Responsibilities

  • Collaborate with full stack and UI teams to seamlessly integrate AI features into products.
  • Provide architectural guidance for AI enablement across applications and workflows.
  • Define and implement robust testing frameworks for AI models ensuring accuracy
  • fairness and reliability.

  • Partner with data engineers to design and maintain scalable data pipelines (Airflow Spark
  • Kafka AWS Glue Azure Data Factory).

  • Align AI initiatives with product roadmaps and monitor post-deployment performance.
  • Candidate Profile

    Education & Experience

  • Bachelors or Masters degree in AI Computer Science Data Science or related fields.
  • 10 15 years of AI / ML experience including 3 5 years in leadership roles.
  • Proven success in deploying AI solutions at scale in production environments.
  • Technical Expertise

  • Programming : Python (NumPy Pandas SciPy scikit-learn).
  • AI / ML Frameworks : TensorFlow PyTorch Keras Hugging Face.
  • Agents & GenAI : OpenAI Agents SDK Model Context Protocol (MCP) RAG pipelines
  • multimodal models.

  • MLOps Tools : AgentCore with AWS SageMaker Azure ML.
  • Data Pipelines : Apache Airflow Spark Kafka AWS Glue Azure Data Factory.
  • DevOps & CI / CD : GitHub Actions Jenkins Docker Kubernetes.
  • Cloud Ecosystems : AWS (priority) with Azure and GCP experience a plus.
  • Optimization : Quantization pruning distributed training.
  • Soft Skills

  • Excellent communication to translate AI value for technical and executive stakeholders.
  • Strong leadership built on collaboration accountability and innovation.
  • Passion for ethical AI responsible adoption and scaling.
  • Key Skills

    Fundraising,Management Experience,Coaching,Analysis Skills,Strategic Planning,Team Management,Budgeting,Leadership Experience,Mentoring,Public Speaking,negotiation,Supervising Experience

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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