AI Engineer
AI Engineer
Cognizant Consulting- Posted 2 days ago
- Over 100 applicants have applied
Job Description
Role Overview
We're looking for AI engineer to work on the design and deployment of Agentic AI solutions. Using the Microsoft Azure AI ecosystem. Your primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.
Key Responsibilities
Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.
End-to-End Ownership: Work on solutioning from design to deployment and scaling of multi-agent systems.
Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration.
Required Qualifications: Graduate / Postgraduate.
Python: Core scripting for pipelines, agent logic, and orchestration.
JavaScript/TypeScript: For AI-embedded apps (e.g., Power Apps extensions, web integrations).
API & Data Standards: JSON, YAML, REST, Graph QL, Microsoft Graph.
C#/.NET (Preferred): Useful for Azure Functions and Bot Framework.
Visualization (Nice to have): Custom Power BI visuals using D3.js or Chart.js.
We're looking for AI engineer to work on the design and deployment of Agentic AI solutions. Using the Microsoft Azure AI ecosystem. Your primary focus will be on building autonomous multi-agent systems that reason, act, and collaborate to solve complex tasks.
Key Responsibilities
Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.
End-to-End Ownership: Work on solutioning from design to deployment and scaling of multi-agent systems.
Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration.
Required Qualifications: Graduate / Postgraduate.
- Strong proficiency in Python for AI workflows, APIs, and automation.
- Understanding of agent orchestration, stateful logic, decision systems, and tool-using agents.
- Familiarity with prompt engineering, RAG, or LLM fine-tuning.
- Knowledge of cloud-native architecture, APIs, event-driven systems, and secure deployments
Python: Core scripting for pipelines, agent logic, and orchestration.
JavaScript/TypeScript: For AI-embedded apps (e.g., Power Apps extensions, web integrations).
API & Data Standards: JSON, YAML, REST, Graph QL, Microsoft Graph.
C#/.NET (Preferred): Useful for Azure Functions and Bot Framework.
Visualization (Nice to have): Custom Power BI visuals using D3.js or Chart.js.
More Info
Key Skills
About Company
Skills:
Node.js, Javascript, MLops, Docker, Typescript, Python, Kubernetes, Generative AI, Llm, AI Developer, Agentic AI, AI Engineering, AI agents, AI solutions
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Python, LangChain, Agentic AI, OpenAI, Anthropic, LlamaIndex
Skills:
snowflake , Machine Learning, PostgreSQL, Sql, XGBoost, Python, AWS Bedrock, LightGBM, managed LLMs, Azure OpenAI, LangGraph, GCP Vertex AI, natural-language generation
Skills:
data engineering , Sql, Gcp, MLops, Azure, Python, AWS, LangChain, Agentic AI frameworks, Model monitoring, LLMs, LLMOps, Performance optimization, Data processing frameworks, AI deployment pipelines, LangGraph, Vector Databases, Data ingestion, RAG, ETL pipelines
Skills:
Large Language Models (LLMs), Machine Learning, Apis, Sql, Microservices, Data Science, MLops, Terraform, Python, AWS, Generative AI, LLMOps, NoSQL databases, Agentic AI systems, Prompt Engineering, Containerized deployments