Director AI
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Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
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.
- 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
