Automation Engineering Manager
Automation Engineering Manager
Posted on :
18-07-2025
Employer Active
1 Vacancy
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Job Description
We are seeking a technically skilled and delivery-focused AI Manager (L5) to lead the development and implementation of AI solutions under the guidance of the AI Architect. This role will manage cross-functional teams of AI developers data scientists and MLOps engineers to build scalable production-grade AI systems including Generative AI Agentic AI and Transformer-based models.
Key Responsibilities:
- Manage day-to-day execution of AI projects ensuring timely delivery quality and alignment to architectural design.
- Lead AI developers and collaborate closely with data scientists BAs and MLOps engineers to build end-to-end AI workflows.
- Translate architectural blueprints into executable components prototypes and production-ready services.
- Oversee the development of GenAI applications RAG pipelines and agent-based solutions using frameworks like LangChain and LangGraph.
- Supervise integration of AI services with business systems and ensure model outputs are usable interpretable and reliable.
- Track project KPIs technical progress and resource allocation; escalate risks and blockers as needed.
- Review code support reusable component development and enforce engineering best practices.
- Coach and mentor junior engineers and analysts within the AI team.
Qualifications :
Required Qualifications:
- 7 years of experience in AI/ML engineering or software development with 23 years in team leadership roles.
- Experience delivering projects using GenAI LLMs or Transformer models (e.g. GPT BERT LLaMA).
- Solid understanding of prompt engineering APIs data preprocessing and model integration.
- Hands-on coding proficiency in Python and familiarity with ML libraries (PyTorchHuggingFace LangChain etc.).
- Exposure to vector databases and RAG architectures for enterprise knowledge retrieval.
- Strong organizational problem-solving and team leadership skills.
- Bachelors or masters degree in computer science AI or related technical field.
Preferred Skills:
- Experience working in agile delivery environments with CI/CD pipelines and MLOps tools.
- Familiarity with multi-agent orchestration platforms LLMOps or auto-evaluation frameworks.
- Prior experience in AI delivery within telecom BFSI healthcare or manufacturing domains.
- Ability to interface with business stakeholders to gather requirements and validate outcomes.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
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