Top 6 Aws cloud practitioner Jobs in Montana

AI Strategist
The Washington Companies —Missoula, MT
- Full-time
- Azure
- Computer Science
- 5 years
13d
Director Chief Information Security Officer - IT Infrastructure and Operations
St. Peter's Health —Helena, MT
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Pega Developer
ATTAINX INC —Billings, MT
- $130,000 - $139,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- SQL
- Disability insurance
- Health insurance
14d

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Director Chief Information Security Officer - IT Infrastructure and Operations
St. Peter's Health —Helena, MT
EDUCATION: Bachelor’s degree in Computer Science, Information Security, or a related field. Risk Management: Proven track record of conducting and managing…

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Staff Technology & Cyber Governance - AI Governance
Bread Financial —Columbus, OH
Bachelor’s Degree in Information Technology, Cybersecurity, Data Science, Artificial Intelligence, Risk Management, or related field of study or equivalent,…
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AI Insights & Governance Analyst
Vertiv —Westerville, OH
Solid working knowledge of the AI/GenAI landscape, tools, and vendors—able to speak credibly with both business and technical stakeholders without requiring a…

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AI Strategist

The Washington Companies
Missoula, MT

Apply Now

Job Details

Full-time
13 days ago

Qualifications

Productivity software
Project stakeholder communication
Cross-functional communication

Full Job Description

As a technical and strategic leader, the AI Lead will work closely with IT, Operations, Finance, Security, Legal, and Business stakeholders to ensure AI initiatives are secure, ethical, production-ready, and measurable.
This role plays a critical part in shaping the company’s AI roadmap, supporting AI and Data Governance Working Groups, and enabling teams to leverage AI as a force multiplier across our organizations.

Key Accountabilities
AI Strategy & Practice Leadership

Serve as a core member of the IT team contributing to governance, risk management, prioritization, and policy development.
Help develop and execute an enterprise AI strategy and roadmap, aligned with business priorities.
Act as the authoritative voice on AI capability, readiness, and feasibility across the organization.

Team Leadership & Capability Development

Foster a collaborative, inclusive, and high-performing team culture with a strong emphasis on learning, experimentation, and accountability.
Define role profiles, skills development plans, and career pathways for AI practitioners.

Technology Support

Stay current on advancements in AI, Machine Learning, NLP, LLMs, GenAI, and cloud-based AI platforms.
Support the evaluation of emerging AI tools, frameworks, and vendors to ensure suitability for Washington Corporations security posture, and operations.
Lead the design and implementation of reusable AI architectures, pipelines, and components that can be leveraged across projects.
Support and Manage AI Platforms.

Business Engagement & Value Delivery

Partner with business leaders and technical teams to translate operational challenges into AI-enabled solutions.
Lead discovery and solution design efforts to ensure AI initiatives address real business problems and deliver measurable outcomes.
Oversee delivery of AI use cases that improve operational efficiency, decision-making, quality, safety, and program visibility.
Ensure AI initiatives move beyond proof-of-concept into production, with clear ownership, performance metrics, and lifecycle management.

Governance, Risk & Responsible AI

Embed ethical AI principles, transparency, and risk mitigation practices into solution design and delivery.
Collaborate with Legal, Privacy, Security, and Data Governance teams to manage AI-related risks.
Support development of guidance for acceptable AI use, data handling, and model lifecycle management.

Communication & Change Enablement

Act as a bridge between technical teams and business stakeholders, translating complex AI concepts into clear, actionable insights, promoting responsible adoption and practical value creation.
Support change management, training, and adoption efforts to build confidence and trust in AI solutions.
Contribute to executive-level updates, business cases, and decision materials related to AI initiatives.

Technical Skills & Knowledge

Strong understanding of AI and machine learning concepts, including supervised/unsupervised learning, NLP, and LLM-based solutions.
Experience with cloud-based AI and data platforms (e.g., Azure, AWS, or equivalent enterprise environments).
Familiarity with AI/MLOps / model lifecycle management, including deployment, monitoring, and retraining.
Working knowledge of data architecture, integration patterns, and enterprise systems (ERP, PLM, operational systems).
Understanding of data governance, security, privacy, and responsible AI principles.
Ability to evaluate and guide the use of open-source and commercial AI tools.

Skills and Competencies Required:

Organization: Strong organizational skills with the ability to manage multiple tasks and priorities simultaneously.
Communication: Clear verbal and written communication skills for reporting and stakeholder engagement.
Analytical Thinking: Ability to analyze project data, spot trends, and provide actionable insights.
Attention to Detail: High level of accuracy in tracking project progress, budgets, and timelines.
Teamwork: Ability to collaborate effectively with cross-functional teams and support project managers.
Problem Solving: Basic problem-solving skills to assist with identifying and addressing project-level challenges.
Tech-Savvy: Proficiency with project management and productivity tools (e.g., Microsoft Excel, PowerPoint, Smartsheet, or similar tools).

Education:

Bachelor’s degree in computer science, Engineering, Data Science, Applied Mathematics, or a related discipline.
Relevant certifications in AI, cloud platforms, or data engineering are considered an asset.

Experience:

5+ years of progressive experience in technology, data, analytics, or AI-related roles.
Demonstrated experience establishing or scaling an AI, analytics, or advanced data practice within a complex organization.
Experience delivering AI solutions in operations is highly desirable.
Proven track record of moving AI initiatives from concept to production with measurable business impact

Apply Now

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aws cloud practitioner jobs in montana

AI Strategist

Director Chief Information Security Officer - IT Infrastructure and Operations

Senior Pega Developer

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