Agentic AI Machine Learning Engineer
ScienceLogicSalary not specified
- Full Time
- Expert & Leadership (9+ years)
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, AI, or a related field, with a PhD preferred for architect-level roles, and a minimum of 8 years of experience in AI/ML, including 5+ years as a Solution Architect and 4+ years of hands-on development with LLMs and autonomous AI agents. Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, and AutoGen is required, along with deep knowledge of LLMs, prompt engineering, agent memory, tool calling, and autonomous task execution. Furthermore, experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise services environment is necessary, alongside an understanding of enterprise solutioning with cloud platforms and data security best practices.
Responsibilities
The Agentic AI Architect will be responsible for designing, developing, and deploying autonomous AI agent ecosystems using frameworks like LangChain, AutoGen, CrewAI, and Semantic Kernel, architecting LLM-powered workflows involving multi-agent collaboration, and collaborating with consulting teams to align AI agent solutions with business goals. They will participate in RFI/RFP responses, creating solution overviews and estimations, working closely with AI Strategists, Engagement Managers, and Domain SMEs to define solution blueprints, and engaging in client workshops and demos. Additionally, the Architect will contribute to the development of reusable agent templates, stay current with GenAI advancements, provide technical mentorship, and collaborate on AI governance and enterprise integration.
Skills
LangChain
AutoGen
CrewAI
Semantic Kernel
Large Language Models (LLMs)
Multi-agent collaboration
Decision logic
Memory management
External tool integration
Solution architecture
Client engagement
Pre-sales
AI strategy
Solution blueprints
MVP scoping
Transformation roadmaps
Infosys
Global consulting & IT services
About Infosys
Key Metrics
N/AHeadquarters
1981Year Founded
N/ACompany Stage
10,001+Employees