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Agentic Engineering & Data Science Professional

Agentic Engineering & Data Science Professional

Myridius x Aethereus

8 - 14 years

25 - 30 Lacs

chennai

Posted:4 days ago| Platform:

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Skills Required

computer science automation gcp failure analysis system integration machine learning system design engineering design troubleshooting python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking an experienced Manager / Senior Manager - Agentic Engineering & Data Science as a

Data Scientist

to lead the design, development, and deployment of AI agent ecosystems, multi-agent orchestration frameworks, and agent-driven automation solutions across enterprise-scale environments This role focuses on building agentic capabilities that enable autonomous decision-making, problem solving, workflow orchestration, and intelligent impact analysis across complex business and technical domains

The ideal candidate combines deep expertise in AI/ML, agentic architectures, Large Language Models (LLMs), Multi-Capability Platforms (MCPs), and distributed system design, along with strong technical leadership experience

Key Responsibilities

Agent & Multi-Agent System Engineering
Design, architect, and deploy autonomous and semi-autonomous AI agents capable of reasoning, planning, tool usage, collaboration, and real-time decision-making Develop multi-agent orchestration flows for complex enterprise processes including SRE troubleshooting, predictive failure analysis, change risk analysis, workflow optimization, and governance automation Evaluate and integrate MCP-based frameworks, agent platforms, LLM tool-calling, and external tool connectors across enterprise systems Build agent intelligence using techniques such as RAG, planning frameworks, vector search, knowledge graphs, and contextual memory management

Advanced Data Science & Machine Learning
Apply ML, NLP, and LLM modeling for autonomous insights, anomaly detection, causality analysis, and recommendation generation Implement impact analysis engines that assess risk, dependency mapping, requirement changes, and quantified business/SLA effects Lead development of pipelines and ML evaluation frameworks supporting agent autonomy

Engineering Leadership & Strategy
Drive end-to-end delivery including discovery, architecture, prototypes, rollout, and scaling Provide technology strategy and roadmap for agentic engineering Mentor and guide engineering teams and evangelize safe and observable AI deployment practices Collaborate with stakeholders to identify automation opportunities and measurable KPIs

Cross-Platform & System Integration
Architect solutions integrating with cloud, DevOps/SRE tools, enterprise systems, and observability platforms Build frameworks using OpenAI/Microsoft/AWS/GCP tooling and MCPs Ensure system reliability, performance, and compliance standards

Required Skills & Experience

8-14 years in AI/ML, Data Science, or Intelligent Automation, with 3+ years leadership Strong expertise in LLMs, multi-agent frameworks, RAG, distributed systems, and workflow automation Hands-on experience in building agents using MCP, LangChain, AutoGen, CrewAI, or similar Proficiency in Python, ML frameworks, vector DBs Experience with DevOps & SRE ecosystems (Prometheus, Grafana, Datadog, etc)

Leadership Skills

Proven ability to lead engineering teams and manage complex programs Excellent communication and executive stakeholder management

Preferred Qualifications

Advanced degree in Computer Science, AI, ML, or similar Experience with intelligent automation or knowledge systems Background in mission-critical SRE or distributed systems

What You Will Impact

Transform enterprise automation via autonomous systems Improve reliability with predictive failure & RCA automation Drive high-value innovation initiatives

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Agentic Engineering & Data Science Professional