Senior AI Lead Job Description
Job Summary
We are seeking a highly experienced Senior AI Lead to drive the design, implementation, and governance of advanced AI solutions across the organization. This role focuses on Responsible AI practices, AI governance, data security, and integrating AI into the Software Development Life Cycle (SDLC).
The ideal candidate brings strong hands-on experience with Large Language Models (LLMs) such as OpenAI (ChatGPT) and Anthropic (Claude), along with proven expertise in Agentic AI systems and multi-agent workflows.
Key Responsibilities
AI Strategy & Leadership
- Define and lead the organization's AI strategy, governance framework, and Responsible AI initiatives
- Establish best practices for ethical AI usage, model transparency, and bias mitigation
- Partner with business and technology stakeholders to identify and deliver AI-driven opportunities
AI Governance & Responsible AI
- Develop and enforce AI governance policies and compliance frameworks
- Ensure adherence to data privacy, regulatory, and ethical standards
- Implement controls for model monitoring, explainability, and risk management
Data Security & Compliance
- Design and enforce secure AI architectures aligned with enterprise data protection policies
- Ensure compliance with standards such as GDPR, HIPAA, SOC2, or similar frameworks
- Collaborate with security teams to mitigate risks related to data leakage and model misuse
AI Integration into SDLC
- Integrate AI capabilities across the SDLC, including development, testing, and DevOps
- Define best practices for AI-driven testing, automation, and deployment pipelines
- Work with engineering teams to embed AI into applications and business workflows
LLM & Generative AI Development
- Design and implement solutions using LLMs such as OpenAI (ChatGPT) and Anthropic (Claude)
- Develop prompt engineering strategies, fine-tuning approaches, and evaluation frameworks
- Build scalable applications leveraging Generative AI and NLP capabilities
Agentic AI & Multi-Agent Systems
- Design and implement Agentic AI systems and multi-agent workflows
- Build intelligent agents capable of autonomous decision-making and orchestration
- Develop frameworks for agent collaboration, memory, and context management
Required Technical Skills
AI / ML & LLMs
- Strong experience with Generative AI and Large Language Models (LLMs)
- Hands-on experience with OpenAI (ChatGPT), Anthropic (Claude), or similar platforms
- Expertise in prompt engineering, fine-tuning, and evaluation techniques
Architecture & Engineering
- Experience designing scalable AI architectures and distributed systems
- Strong understanding of APIs and microservices-based architectures
AI Governance & Security
- Experience implementing AI governance frameworks and Responsible AI practices
- Strong understanding of data security, compliance, and risk management
DevOps & SDLC Integration
- Experience integrating AI into CI/CD pipelines and DevOps workflows
- Familiarity with MLOps practices and tools
Programming & Tools
- Proficiency in Python or similar programming languages
- Experience with AI/ML frameworks and cloud platforms (AWS, Azure, GCP)
Preferred Qualifications
- Experience with multi-agent frameworks and orchestration tools
- Exposure to AI observability and monitoring tools
- Knowledge of enterprise data platforms and data engineering workflows
- Prior experience leading AI transformation initiatives
Soft Skills
- Strong leadership and stakeholder management capabilities
- Ability to translate business challenges into AI-driven solutions
- Excellent communication and presentation skills
- Strategic mindset with hands-on execution ability
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field
