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Physician OB Hospitalist Laborist
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Be a role model of Intermountain values and professionalism by creating and nurturing a psychologically safe workplace and cultivate an atmosphere of teamwork and mutual respect among all…
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Senior Executive Assistant
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- $90,000 to $115,000 USD / year
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HPE Labs - AI/ML Engineer (Technical Lead)
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…practical experience in LLMOps or MLOps, evaluation, and production model lifecycle…
Added 6 mins ago
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Lead through change. Model leadership competencies, build credibility and act as a champion for business growth.
Added 7 mins ago
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…development lifecycle - requirements gathering, data sourcing, model development, proof‑of‑concept demonstrations, risk governance reviews, and production deployment across both on‑premises…
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Lead Data Scientist-Machine Learning
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…development lifecycle - requirements gathering, data sourcing, model development, proof‑of‑concept demonstrations, risk governance reviews, and production deployment across both on‑premises…
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Gather requirements and program model development under direction of other Data Scientists to inform problem formulation.
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Director of Infrastructure - Local to Pittsburgh, Dallas, Denver, or Cleveland
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…manual infrastructure processes to a zero touch, automated…
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Formulate the strategic and tactical steps to carry out the model development lifecycle end-to-end (i.e. problem statement definition, exploratory data analysis, feature engineering, model…
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Lead Data Scientist-Machine Learning
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NA Sales Representative, Data Platform Healthcare
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Columbus, OH
- $126,600 to $217,700 USD / year
…signing, and post-sales support. Leverages the Oracle sales model to maximize revenue growth and increase local market share. Builds and expands business partner revenue and self…
Added 7 mins ago
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Google Senior Data Engineer
Accenture
Cincinnati, OH · Columbus, OH · Cleveland, OH
- $94,400 to $266,300 USD / year
Assist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
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Google Data Specialist
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- $70,350 to $196,000 USD / year
Assist in developing ML models and AI solutions using:Vertex AI, Gemini Foundation Models, Gemini Enterprise, Model APIs & Embeddings
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Cincinnati, OH · Cleveland, OH · Columbus, OH
- $87,400 to $253,000 USD / year
Operating model strategy, technology in M&A, tech value cost take-out, or technology driven revenue growth strategy, or strategy involving AI and emerging technology-enabled transformation
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- $86,000 to $99,000 USD / year
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Added 12 mins ago
Agentic AI Engineer – Workflow Orchestration & Prompt Engineer
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Analyze workflow execution logs, model outputs, and intermediate agent responses to identify root causes of failures, performance degradation, or inconsistent results.
Added 21 mins ago
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Senior Principal Technical Program Manager
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- $114,600 to $234,600 USD / year
Added 21 mins ago
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Principal Data Engineer
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- $114,600 to $234,600 USD / year
…mitigating data quality issues that could impact data pipeline and model…
Added 21 mins ago
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Senior Data Engineer
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- $95,600 to $209,500 USD / year
Implements rigorous data validation and integrity checks, identifying and addressing any data quality issues that could impact data pipeline and model performance.
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Experis USA

Agentic AI Engineer – Workflow Orchestration & Prompt Engineer

Charlotte, NC, United States

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Job details

Apply by: Feb 8, 2027
Posting language: English
Posted: Nov 9, 2026

Original job description

Agentic AI & Workflow Orchestration:

Designing multi-step LLM/agent workflows, tool calling, handoffs, and orchestration patterns. Prompt & Context Engineering: Strong prompt design, RAG, grounding, context/memory management, and human-in-the-loop patterns. Hands-on AI Engineering: Strong Python, APIs, JSON, data integration, scripting, and AI-assisted development. LLM Evaluation & Troubleshooting: Testing workflows, diagnosing failures, analyzing outputs/logs, and improving accuracy and reliability. Business-to-AI Solution Design: Translating ambiguous business problems into scalable, structured, end-to-end AI solutions.

JOB DESCRIPTION

AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using large language models (LLMs), AI agents, and orchestration frameworks. The role focuses on hands-on workflow architecture, prompt engineering, technical implementation, experimentation, and operational reliability. This individual translates complex or ambiguous requirements into structured, multi-step workflows that coordinate prompts, tools, context, data, and agent interactions. The role requires strong analytical and engineering skills to independently assess system behavior, prototype solutions, troubleshoot execution issues, and improve AI performance through testing and operational insights.
In this role, you will:
Translate business problems into structured AI workflow designs that break complex tasks into logical stages and execution paths.
Design and maintain reusable prompt libraries, workflow templates, and orchestration patterns, with standardized templates, version control, evaluation criteria, change tracking, and lifecycle management.
Design, develop, and optimize multi-step prompt workflows that enable AI agents to perform reasoning, decision support, content generation, analysis, and task execution activities.
Define workflow architecture including prompts, context requirements, tool interactions, orchestration logic, handoffs, dependencies, and output requirements.
Determine how information, memory, context, and intermediate outputs should be managed throughout workflow execution.
Analyze workflow execution logs, model outputs, and intermediate agent responses to identify root causes of failures, performance degradation, or inconsistent results.
Troubleshoot issues related to prompt design, context management, agent behavior, tool integrations, data pipelines, file structures, APIs, and execution environments.
Evaluate workflow effectiveness using qualitative and quantitative measures and implement improvements to increase reliability, accuracy, efficiency, and user outcomes.
Improve context engineering strategies to optimize information retrieval, grounding, memory management, and response quality.
Develop automation, scripts, and utilities to support workflow development, experimentation, testing, evaluation, monitoring, and operational efficiency.
Perform data inspection, transformation, validation, and analysis activities to support AI workflow development and troubleshooting.
Contribute to AI governance, risk management, quality assurance, and responsible AI practices by ensuring workflows operate within established standards and controls.
Stay informed on emerging AI technologies, agent frameworks, orchestration platforms, prompt engineering techniques, and industry best practices.

Qualifications:

Experience designing, implementing, and optimizing multi-step LLM, generative AI, and agentic workflows.
Strong problem-solving skills with the ability to translate complex business challenges into scalable AI solutions.
Expertise in prompt engineering, human-in-the-loop workflows, and AI performance optimization.
Ability to troubleshoot and diagnose issues across prompts, agents, context management, integrations, and workflow execution.
Proficiency in Python, APIs, JSON, Markdown, and working with structured and unstructured data.
Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or similar platforms.
Knowledge of agent orchestration frameworks, multi-agent architectures, and modern workflow orchestration patterns.
Understanding of RAG, context engineering, memory management, tool calling, and agent planning methodologies.
Experience integrating AI solutions with enterprise applications, automation platforms, cloud AI services, and business processes.
Strong communication, collaboration, governance, risk, and responsible AI expertise, including evaluation, monitoring, compliance, and operational controls

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.

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Skills

Workflow
Python
Troubleshooting
Troubleshoot
Inspect data
Risk management
Quality assurance
Problem solving
Unstructured data
GitHub
Communication skills
Collaboration
Regulatory compliance

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