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Agentic Jobs in Wisconsin (NOW HIRING)

$122K - $146K/yr

Senior Agentic AI Engineer / Developer Location: Montreal, Canada (Onsite) Duration: Long-Term Contract / Full-Time Experience: 8+ Years Job Summary We are seeking a highly skilled Senior Agentic AI ...

Senior Agentic Engineer

Madison, WI · On-site

$105K - $144K/yr

They are seeking an Agentic Engineer to design, develop, and deploy sophisticated AI agent systems that enhance their insurance platform capabilities. Responsibilities : • Agentic System ...

They are seeking a Principal Agentic Engineer to design and implement sophisticated AI agent systems that enhance insurance workflows and customer service. Responsibilities : • Lead the design and ...

WI · On-site

$114K - $158K/yr

Senior Principal, AI Software Engineer- Agentic & Industry SolutionsSkip to main contentThis site uses cookies and related technologies, as described in our privacy policy, for purposes that may ...

WI · On-site

$205K - $360K/yr

Senior Principal, AI Software Engineer - Agentic & Industry Solutions Genesys empowers organizations worldwide to create better customer experiences through AI-powered experience orchestration. As a ...

New

WI · On-site

$134K - $236K/yr

Genesys- is seeking an Agentic AI Orchestrator in Wisconsin, USA, to support AI transformation programs. The role blends technical execution and leadership to drive customer-centric AI solutions. You ...

New

$109K - $144K/yr

Lead AI Engineer, Agentic Data Lineage Location: Montreal, Canada Work Type: Hybrid min 3 days work from office per week Interview rounds: L1 and L2 JD: Lead AI Engineer, Agentic Data Lineage What ...

WI · On-site

$205K - $360K/yr

The candidate will design transformative Agentic AI solutions and lead initiatives that enhance customer experience and operational efficiency. With a market-competitive salary range of $205,200.00 ...

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Agentic information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, machine learning executive, or senior data scientist, often requiring advanced skills, extensive experience, and sometimes equity or bonuses. These roles are usually found in large tech companies or startups with significant AI investments and may involve leadership, strategic planning, and specialized technical expertise.

What are agentic professions?

Agentic professions are roles that involve taking initiative, making independent decisions, and exerting control over work tasks. These jobs often require strong communication, problem-solving skills, and a proactive attitude, and they are common in fields like management, entrepreneurship, and consulting.

Is agentic AI a good career?

Agentic AI refers to roles involving the development and management of autonomous systems that can perform tasks independently. Careers in this field typically require skills in machine learning, programming, and data analysis, and are found in technology companies, research institutions, and robotics industries. The field is growing as AI technology advances, offering opportunities for innovation and specialization.

Which 3 jobs will survive AI?

Agentic roles that require complex human interaction, creativity, and strategic decision-making are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and managerial positions, as these jobs depend on emotional intelligence, adaptability, and nuanced judgment that AI cannot fully replicate.

What is the difference between Agentic vs Customer Service Representative?

AspectAgenticCustomer Service Representative
Required CredentialsTypically no formal credentials required, but strong communication skills preferredHigh school diploma or equivalent; sometimes additional training or certifications
Work EnvironmentCall centers, online platforms, or in-person settingsCall centers, retail stores, or corporate offices
Industry UsageCustomer support, sales, technical assistanceCustomer support, sales, client relations
Common Search/ComparisonAgentic vs Customer Service Representative

Agentic roles focus on proactive customer engagement and problem-solving, often requiring strong communication skills. Customer Service Representatives handle customer inquiries and support, usually with similar communication requirements but may involve more routine tasks. Both roles are vital in customer-facing industries, but Agentic positions often emphasize initiative and problem resolution.

What are popular job titles related to Agentic jobs in Wisconsin? For Agentic jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Agentic jobs? Cities in Wisconsin with the most Agentic job openings:
Agentic AI with Snowflake

$122K - $146K/yr

Other

Posted 19 hours ago


Job description

Job Title: Senior Agentic AI Engineer / Developer

Location: Montreal, Canada (Onsite)
Duration: Long-Term Contract / Full-Time
Experience: 8+ Years

Job Summary

We are seeking a highly skilled Senior Agentic AI Engineer with strong experience in Generative AI, Agentic AI frameworks, LLMs, Snowflake, and cloud-native data platforms. The ideal candidate will design, develop, and deploy autonomous AI agents capable of reasoning, planning, tool usage, and workflow orchestration while leveraging Snowflake as the enterprise data platform.

This role requires hands-on experience building AI-powered applications, integrating LLMs with enterprise data sources, and implementing multi-agent systems that automate complex business processes.


Required Skills< data-start="798" data-end="829">Agentic AI & Generative AI
  • 3+ years of hands-on experience in Generative AI and Agentic AI solutions
  • Experience building AI Agents using frameworks such as:
    • LangGraph
    • LangChain
    • CrewAI
    • AutoGen
    • Semantic Kernel
    • LlamaIndex
  • Experience with multi-agent orchestration and autonomous workflows
  • Knowledge of RAG (Retrieval-Augmented Generation) architectures
  • Prompt Engineering and Agent Evaluation techniques
  • Experience with Vector Databases and embeddings
< data-start="1289" data-end="1310">LLM Technologies
  • OpenAI GPT Models
  • Anthropic Claude
  • Gemini
  • Llama Models
  • Mistral Models
  • Fine-tuning and model optimization experience
  • Function Calling and Tool Use implementations
< data-start="1488" data-end="1502">Snowflake
  • Strong hands-on experience with Snowflake
  • Snowflake Cortex AI
  • Snowpark
  • Snowflake Data Engineering
  • Data Pipelines and Data Sharing
  • Snowflake Native Applications
  • Performance optimization and governance
< data-start="1718" data-end="1734">Programming
  • Python (Expert)
  • SQL
  • REST APIs
  • FastAPI or Flask
  • Java or Scala (Preferred)
< data-start="1819" data-end="1842">Cloud Technologies
  • AWS, Azure, or Google Cloud Platform
  • Kubernetes
  • Docker
  • CI/CD Pipelines
  • Infrastructure as Code
< data-start="1930" data-end="1951">Data Engineering
  • ETL/ELT Pipelines
  • Data Warehousing
  • Structured and Unstructured Data Processing
  • Vector Search Technologies
  • Data Modeling

Responsibilities
  • Design and implement Agentic AI solutions for enterprise use cases.
  • Build autonomous AI agents capable of planning, reasoning, memory management, and tool execution.
  • Develop and optimize RAG pipelines using Snowflake and vector databases.
  • Integrate enterprise applications, APIs, and Snowflake data platforms with AI agents.
  • Create multi-agent workflows to automate business processes and decision-making.
  • Collaborate with data engineers, architects, and business stakeholders to define AI strategies.
  • Implement monitoring, guardrails, security, and governance for AI applications.
  • Optimize agent performance, latency, scalability, and cost efficiency.
  • Build and deploy production-grade AI applications in cloud environments.
  • Participate in architecture reviews and provide technical leadership.

Preferred Qualifications
  • Experience with Snowflake Cortex AI and Snowpark ML.
  • Knowledge of MCP (Model Context Protocol).
  • Experience with AI Observability tools such as LangSmith, Arize, or Weights & Biases.
  • Understanding of Responsible AI and AI Governance frameworks.
  • Experience deploying AI agents in enterprise environments.
  • Snowflake, AWS, Azure, or Google Cloud Platform certifications preferred.

Nice to Have
  • Knowledge Graphs
  • Graph Databases (Neo4j)
  • Machine Learning Operations (MLOps)
  • Real-time Streaming (Kafka)
  • NLP and Document Intelligence solutions
  • Experience with Financial Services, Healthcare, Retail, or Manufacturing domains
Education
  • Bachelor''s or Master''s degree in Computer Science, Data Science, Engineering, or a related field.

Work Authorization: Must be authorized to work in Canada.
Location Requirement: Must be able to work onsite in Montreal, Canada.