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Ai Alignment Jobs in Colorado (NOW HIRING)

Qode

Sr. Technical Project Manager (TPM)

CO · On-site +1

$110K - $152K/yr

Bridge product and engineering AI alignment. What We're Looking For (Required Qualifications): * 7+ years of technical program management in a software engineering organization, with at least 2 years ...

Munich Re

Technical Architect - Data, Analytics & AI

Aurora, CO · Hybrid

$64.75 - $83.25/hr

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

ServiceNow

Solution Architect - AI & Data

Denver, CO

$64.75 - $85.50/hr

Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business ...

ServiceNow

Solution Architect - AI & Data

Denver, CO · On-site +1

$64.75 - $85.50/hr

Architect enterprise data catalog strategies using platforms defining target-state designs that align metadata management, data lineage, and governance structures to broader AI and business ...

IMA Financial Group

AI Engineering Lead

Denver, CO · On-site +1

$105K - $139K/yr

... align to existing enterprise infrastructure. This role will also evaluate when more flexible ... The AI Engineering Lead will own development of critical AI systems while establishing technical ...

Prologis

AI Product Owner

Denver, CO

AI Product Owner Company: Prologis A day in the life The AI Product Owner helps turn AI ... Drive responsible adoption and performance measurement through governance alignment, launch ...

Holland & Knight

AI Legal Engineer

Denver, CO · On-site

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... Embed human-review checkpoints and audit mechanisms aligned with Firm governance, confidentiality ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

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, senior machine learning engineer, or AI product executive, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience and impact. Such salaries are common in top tech companies or specialized AI firms for senior or executive-level professionals.

How to become an AI alignment researcher?

To become an AI alignment researcher, typically a strong background in computer science, machine learning, or related fields is required, often including advanced degrees such as a master's or Ph.D. in these areas. Developing expertise in AI safety, ethics, and formal verification, along with programming skills in Python and familiarity with AI frameworks, is essential. Gaining research experience through academic projects, internships, or contributing to open-source initiatives can also be valuable for entering this specialized field.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI Alignment Specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

Which 3 jobs will survive AI?

AI alignment professionals, software engineers specializing in AI safety, and ethicists focused on AI governance are likely to continue being in demand as AI technology advances. These roles require specialized knowledge, critical thinking, and oversight skills that are difficult to automate. Continuous learning and expertise in AI tools and ethical frameworks are essential for these jobs to remain relevant.

What is an AI alignment?

AI alignment in the context of AI safety and ethics refers to designing and developing artificial intelligence systems so that their behaviors and outcomes align with human values and intentions. AI alignment specialists work to ensure that AI systems act reliably and safely, often using techniques like value specification, interpretability, and robustness testing. This field requires skills in machine learning, ethics, and programming, and is critical for creating beneficial and trustworthy AI systems.
What are popular job titles related to Ai Alignment jobs in Colorado? For Ai Alignment jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Alignment jobs in Colorado look for? The top searched job categories for Ai Alignment jobs in Colorado are:
What cities in Colorado are hiring for Ai Alignment jobs? Cities in Colorado with the most Ai Alignment job openings:
Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Colorado as of July 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Sr. Technical Project Manager (TPM)

Qode

CO • On-site, Remote

$110K - $152K/yr

Full-time

Posted 21 days ago

Job description

About the Role:
We're looking for a Sr. Technical Project Manager (TPM) to drive delivery for complex, cross-functional initiatives-including those involving AI/ML and intelligent automation. You'll balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes. This role is ideal for someone who can run tight execution rhythms and understand the unique delivery needs of AI work (experimentation, data readiness, evaluation, governance, and iteration) in the rollout of the AI-Driven SDLC (AIDLC),
What You'll Do:
  • Own end-to-end project execution: plan, schedule, and drive delivery across the full project lifecycle, balancing constraints and keeping work moving forward in partnership with product and engineering counterparts.
  • Build and maintain project plans, track milestones, and proactively manage risks, issues, and tradeoffs-providing clear stakeholder updates with recommended solutions.
  • Serve as the PMO lead for the ML's agentic platform and customer facing products - the structured methodology for developing, testing, deploying, and operating AI agents within MeridianLink's agentic architecture.
  • Partner with engineering leads to embed AI into each SDLC phase: requirements (AI-assisted grooming agents), development (co-pilot and Claude Code standards), testing (test-driven development metrics), and release (zero-downtime deployment, feature flag governance).
  • Establish and continuously improve team processes that increase quality and productivity through process definition, education, and refinement.
  • Facilitate light weight agile ceremonies (planning, standups, retrospectives) and drive continuous improvement through retrospective assessments.
  • Use tools such as Jira (and related reporting) to support teams and enable visibility into progress, capacity, and delivery health. Bridge product and engineering AI alignment.

What We're Looking For (Required Qualifications):
  • 7+ years of technical program management in a software engineering organization, with at least 2 years in an AI, ML, or platform transformation context.
  • Demonstrated experience managing AI/ML initiatives or SDLC modernization programs - not just awareness, but delivery ownership.
  • Fluency with AI-driven SDLC concepts: AI-assisted requirements, co-pilot/code generation tooling, test automation, agentic deployment, and observability.
  • Ability to translate engineering complexity into executive narratives and vice versa; strong stakeholder management across CTO, VPs, and ICs.
  • Experience running programs that span multiple scrum teams, including offshore-heavy organizations.
  • Hands-on with program/project tooling (Jira, Confluence, or equivalents) and familiarity with engineering metrics (DORA, SPACE, or similar frameworks).

What Success Looks Like (First 90 Days)
  • Delivery plans are clear, realistic, and transparent; stakeholders consistently know status, risks, and next steps.
  • Dependencies are surfaced early and managed actively; team execution rhythms are consistent and effective.
  • AI-related initiatives have strong delivery hygiene (milestones, measurable outcomes, and aligned execution across data/Product/Engineering).
  • Why This Role
  • You'll play a pivotal role in delivering cross-functional technology initiatives-and help the organization execute confidently as AI becomes a more central part of products and operations. You'll bring clarity, momentum, and structure to complex work while partnering with leaders across Engineering, Product, and Data.

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