AI ML Consultant - Technical Consultant
Come grow with us!
Wipro is seeking individuals who combine excellent AI ML Consulting and problem-solving skills with the ability to function effectively both as part of a team or on an individual basis to bring their talent to our team.
Wipro is a leading, publicly traded, global IT solutions and services company with over 250,000 dedicated employees serving clients across multiple continents with over 130 locations in more than 65 countries.
We offer a strong compensation package that includes competitive pay and day one benefits. Wipro also offers many opportunities for career advancement within our engaging and exciting culture.
Location: Remote USA
Work authorization: US Citizen or US Green Card
Duration: Full-time (40 hours/ week)
What you will be doing:
Designs, builds, and deploys autonomous AI agents that can plan, reason, take actions, and
interact with tools or systems.
Job Description:
The role also includes applying core machine learning (ML). techniques to support data-driven decision-making, model development, and integration of ML components within agentic workflows. This includes developing LLM-based agents, designing multi-agent systems, integrating external APIs/tools, improving reasoning capabilities, and ensuring reliability and safety of agent behavior in production. The engineer works across LLM orchestration, ML model development, prompt engineering, tool-calling frameworks, vector databases, and backend systems to create scalable, intelligent automation solutions.
Roles and responsibilities include following:
· Build and optimize AI agents using LLMs, ML models, and agent frameworks
(LangChain, Microsoft Agent Framework, etc.).
· Design, develop and execute Agentic AI capabilities from scratch
· should be able to implement multi-agent orchestration
· good understanding on Agent security, Guardrails and other NFR capabilities
· Develop workflows where agents reason, plan, execute tasks autonomously, and
make ML-driven decisions.
· Implement tool calling, API integrations, memory systems, RAG pipelines, and ML
inference workflows.
· Design multi-agent and ML-enhanced collaboration systems for complex tasks.
· Build, train, evaluate, and integrate ML models (classification, regression, clustering,
etc.) into agent pipelines.
· Monitor agent and ML model performance, safety, reliability, drift, and hallucination
control.
· Deploy agentic and ML systems into production using cloud and containerized infrastructure. · Work with engineering and product teams to deliver AI- and ML-powered automation features.
Job Type: Full-time
Pay: $90,000.00 - $100,000.00 per year
Benefits:
• 401(k) matching
• Dental insurance
• Employee discount
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance
Application Question(s):
• Do you require future sponsorship or letter(s) to keep working in the USA? Yes or No.
• How many years of experience do you have in the build and optimize AI agents using LLMs, ML models, and agent frameworks (LangChain, Microsoft Agent Framework, etc.).
• How many years of experience do you have in the Design, develop and execute Agentic AI capabilities from scratch should be able to implement multi-agent orchestration
Education:
• High school or equivalent (Required)
Experience:
• Designs, builds, and deploys autonomous AI agents : 2 years (Required)
Work Location: Remote
Apply Now
Apply Now
Wipro is seeking individuals who combine excellent AI ML Consulting and problem-solving skills with the ability to function effectively both as part of a team or on an individual basis to bring their talent to our team.
Wipro is a leading, publicly traded, global IT solutions and services company with over 250,000 dedicated employees serving clients across multiple continents with over 130 locations in more than 65 countries.
We offer a strong compensation package that includes competitive pay and day one benefits. Wipro also offers many opportunities for career advancement within our engaging and exciting culture.
Location: Remote USA
Work authorization: US Citizen or US Green Card
Duration: Full-time (40 hours/ week)
What you will be doing:
Designs, builds, and deploys autonomous AI agents that can plan, reason, take actions, and
interact with tools or systems.
Job Description:
The role also includes applying core machine learning (ML). techniques to support data-driven decision-making, model development, and integration of ML components within agentic workflows. This includes developing LLM-based agents, designing multi-agent systems, integrating external APIs/tools, improving reasoning capabilities, and ensuring reliability and safety of agent behavior in production. The engineer works across LLM orchestration, ML model development, prompt engineering, tool-calling frameworks, vector databases, and backend systems to create scalable, intelligent automation solutions.
Roles and responsibilities include following:
· Build and optimize AI agents using LLMs, ML models, and agent frameworks
(LangChain, Microsoft Agent Framework, etc.).
· Design, develop and execute Agentic AI capabilities from scratch
· should be able to implement multi-agent orchestration
· good understanding on Agent security, Guardrails and other NFR capabilities
· Develop workflows where agents reason, plan, execute tasks autonomously, and
make ML-driven decisions.
· Implement tool calling, API integrations, memory systems, RAG pipelines, and ML
inference workflows.
· Design multi-agent and ML-enhanced collaboration systems for complex tasks.
· Build, train, evaluate, and integrate ML models (classification, regression, clustering,
etc.) into agent pipelines.
· Monitor agent and ML model performance, safety, reliability, drift, and hallucination
control.
· Deploy agentic and ML systems into production using cloud and containerized infrastructure. · Work with engineering and product teams to deliver AI- and ML-powered automation features.
Job Type: Full-time
Pay: $90,000.00 - $100,000.00 per year
Benefits:
• 401(k) matching
• Dental insurance
• Employee discount
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Referral program
• Vision insurance
Application Question(s):
• Do you require future sponsorship or letter(s) to keep working in the USA? Yes or No.
• How many years of experience do you have in the build and optimize AI agents using LLMs, ML models, and agent frameworks (LangChain, Microsoft Agent Framework, etc.).
• How many years of experience do you have in the Design, develop and execute Agentic AI capabilities from scratch should be able to implement multi-agent orchestration
Education:
• High school or equivalent (Required)
Experience:
• Designs, builds, and deploys autonomous AI agents : 2 years (Required)
Work Location: Remote
Apply Now
Apply Now