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Manager Ai Agent Engineer Jobs (NOW HIRING)

Valitana LLC

AI Agent Engineer

Stamford, CT · On-site

AI Agent Engineer About Valitana Valitana is a rapidly growing FinTech company delivering cutting ... management tools that empower our clients to make faster and more informed decisions while ...

Weekday AI

Senior AI Agent Engineer

$107K - $146K/yr

Senior AI Agent Engineer Remote - United States Contract Position 6+ Months An innovative ... manage Agent Skills, SKILL.md workflows, and evaluation suites • Contribute to Managed Agents ...

Valitana LLC

AI Agent Engineer

Stamford, CT · On-site

$16 - $21.25/hr

... management tools that empower our clients to make faster and more informed decisions while ... Position Overview Valitana is hiring its first dedicated AI Agent Engineer -- a founding role that ...

Tror AI for everyone

AI Agent Engineer

Mclean, VA · On-site

Job Title: - Senior AI Agent Engineer Location: - McLean, VA - 5 days onsite Employment Type ... Build orchestration logic to manage the lifecycle of subagents (initialization, delegation ...

General Motors

AI Agent Engineer

Warren, MI · On-site +1

Agent lifecycle management * Define and implement monitoring, logging, and feedback loops to ... engineering or AI/ML engineering experience in complex, enterprise environments. * Strong ...

IntelePeer

AI Agent Engineer

Dania Beach, FL · On-site +1

$102K - $137K/yr

You will work closely with the Director of AI Agent Engineering, Solutions Architects, QA Engineers, and Customer Success Managers - taking clean designs and turning them into working, tested ...

IntelePeer

AI Agent Engineer

Dania Beach, FL

$102K - $137K/yr

You will work closely with the Director of AI Agent Engineering, Solutions Architects, QA Engineers, and Customer Success Managers -- taking clean designs and turning them into working, tested ...

General Motors

AI Agent Engineer

Warren, MI · On-site

Agent lifecycle management * Define and implement monitoring, logging, and feedback loops to ... engineering or AI/ML engineering experience in complex, enterprise environments. * Strong ...

General Motors

AI Agent Engineer

Austin, TX · On-site +1

Agent lifecycle management * Define and implement monitoring, logging, and feedback loops to ... engineering or AI/ML engineering experience in complex, enterprise environments. * Strong ...

Goosehead

AI Agent Engineer

Westlake, OH · On-site

Collaborate with data scientists, product managers, and engineers to translate ambiguous business ... Drive innovation by staying current with advancements in generative AI, multi-agent frameworks, and ...

LexisNexis

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

RELX

AI Agent Engineer

Dayton, OH · On-site

$76K - $102K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

Lexisnexis Risk Solutions

AI Agent Engineer

Alpharetta, GA

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

Lexisnexis Risk Solutions

AI Agent Engineer

Alpharetta, GA

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

IntelePeer

AI Agent Engineer

Dania, FL · On-site

The AI Agent Engineer role involves building, configuring, testing, and deploying AI voice agents for healthcare customers, ensuring reliable performance and seamless integration with data systems.

RELX

AI Agent Engineer

Alpharetta, GA

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

RELX Group plc

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

LexisNexis

AI Agent Engineer

Alpharetta, GA · On-site

$77K - $103K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

Lexisnexis Risk Solutions

AI Agent Engineer

Dayton, OH

$76K - $102K/yr

We build and manage the environments, platforms, and guardrails that allow teams to create, test ... The AI Agent Engineer plays a critical role in ensuring AI agents run safely, reliably, and ...

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Manager Ai Agent Engineer information

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How much do manager ai agent engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for manager ai agent engineer in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

How much do manager AI engineers make?

Manager AI engineers typically earn between $120,000 and $180,000 annually, depending on experience, location, and company size. They often require strong skills in machine learning, leadership, and project management, with certifications in AI or related fields enhancing their earning potential.

What engineer makes $500,000 a year?

Senior AI Engineer or Machine Learning Engineer roles, especially at large tech companies or in specialized industries, can reach or exceed $500,000 annually with bonuses and stock options. These positions typically require advanced skills in AI, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of impactful projects.

Which 3 jobs will survive AI?

For a Manager AI Agent Engineer, roles that require complex problem-solving, emotional intelligence, and creative thinking are likely to persist alongside AI advancements. These include jobs in strategic management, human-centered design, and specialized technical fields that involve oversight, ethical considerations, and nuanced decision-making. Continuous learning and expertise in AI tools can also help professionals adapt to evolving job requirements.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI engineer, AI research director, or machine learning executive, often involving advanced skills in data science, deep learning, and leadership. These roles usually require extensive experience, specialized certifications, and may include stock options or bonuses as part of compensation packages.

What is the difference between Manager Ai Agent Engineer vs Data Scientist?

AspectManager Ai Agent EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI/ML toolsBachelor's or Master's in CS, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentDeveloping, deploying, and managing AI agents; cross-functional teamsAnalyzing data, building models, and deriving insights; research-focused
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsTech firms, finance, healthcare, research institutions

The Manager Ai Agent Engineer focuses on leading AI agent development and deployment, managing teams, and ensuring AI solutions meet business needs. In contrast, Data Scientists primarily analyze data, build predictive models, and generate insights. Both roles require strong technical skills, but their core responsibilities and work environments differ significantly.

More about Manager Ai Agent Engineer jobs
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Manager Ai Agent Engineer jobs near you
Infographic showing various Manager Ai Agent Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.
AI Agent Engineer

AI Agent Engineer

Valitana LLC

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago

Job description

AI Agent Engineer
About Valitana
Valitana is a rapidly growing FinTech company delivering cutting-edge SaaS solutions to institutional investors. Founded in 2017, our platform provides advanced financial analytics, trade flow insights, and portfolio management tools that empower our clients to make faster and more informed decisions while improving operational efficiency.
Valitana was awarded the 2026 Deal Catalyst CLO Award for Best CLO & Technology Provider - Innovation and serves approximately 100 institutional clients including CLO investors, CLO managers, hedge funds, asset managers, insurance companies, family offices, and broker dealers.
Position Overview
Valitana is hiring its first dedicated AI Agent Engineer - a founding role that will define how artificial intelligence is designed, built, and governed across our platforms. This isn't a seat on an established AI team. It's the opportunity to stand that capability up from the ground floor and set the standards everyone who follows will build on.
You'll work directly with Valitana's product and executive leadership - a team whose backgrounds span CVC Credit Partners, Ellington Management Group, Eagle Point Credit, Trepp, Allvue, Royal Bank of Scotland, and JPMorgan Chase. You'll develop a deep understanding of our platforms, client workflows, and the structured-credit domain, then turn that knowledge into AI-powered solutions: prototyping features, designing agent orchestration patterns, and hardening the security and governance controls that make AI trustworthy in a regulated environment.
This is a high-ownership, product-minded role with unusual proximity to both the product and the people who lead it.
Why This Role Matters
You're founding the function, not inheriting it. As our first AI-focused engineer, you'll make the foundational calls - frameworks, orchestration patterns, evaluation standards, security posture - that shape every AI system Valitana builds from here. The playbook doesn't exist yet. You write it.
Your work ships, and people see it. On a ~60-person team serving roughly 100 institutional clients, there's a short line between a prototype on your screen and a capability in front of a CLO manager or asset manager. Nothing gets lost in the org chart.
The problems are genuinely hard. Structured credit - CLOs, ABS, leveraged loans - is a complex, high-stakes domain. The AI you build here solves real analytical and operational problems for sophisticated clients, not novelty use cases.
Responsibilities
As Valitana's AI Agent Engineer, you will:
  • Prototype and iterate on AI-driven product features in partnership with product leadership across internal tooling, data pipelines, and platform enhancements.
  • Design and build AI agent orchestration infrastructure: dispatch patterns, tool use, structured output parsing, memory management, and multi-agent coordination.
  • Develop and maintain prompt engineering and context engineering systems that drive reliable and auditable agent behavior.
  • Build evaluation pipelines, monitoring, and quality gates for AI agent outputs.
  • Implement security and governance controls for AI systems: prompt injection defense, input/output validation, authority scoping, data boundary enforcement, and auditability.
  • Evaluate and integrate emerging AI tooling and frameworks: MCP servers, retrieval systems, embedding pipelines, and orchestration libraries.
  • Collaborate with cross-functional teams - product, engineering, and business stakeholders - to bring AI capabilities from prototype to production.
  • Document system architectures, agent contracts, and operational patterns for technical and non-technical audiences.
  • Stay current with advancements in AI agent frameworks, LLM tooling, and security best practices.
What You Bring
Must-haves
  • 3-5+ years of experience in software development, with strong proficiency in Python.
  • Hands-on experience building with LLM APIs (Anthropic, OpenAI, or similar), including tool use, structured outputs, function calling, and multi-turn orchestration.
  • A disciplined, engineering-grade approach to prompt engineering and context engineering.
  • Experience with multi-agent systems, agent orchestration frameworks, or AI pipeline design.
  • A security-first mindset with awareness of LLM-specific risks: prompt injection, data leakage, and authority boundary enforcement.
  • Demonstrated ability to rapidly prototype and iterate across a range of AI-powered solutions.
  • Comfort working across prototyping (Python, markdown-driven systems) and production (C#, Angular, SQL Server) environments.
  • Strong written and verbal communication skills. Documenting agent architectures and system designs is a core part of this role.
  • Self-direction and the ability to manage multiple concurrent workstreams in a fast-paced environment.
  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Bonus points
  • Experience or familiarity with financial products, particularly structured credit (CLOs, ABS, leveraged loans).
What We Offer
Base salary range for this role is $140,000-$180,000. Valitana offers a competitive compensation package including base salary and an annual performance bonus. Employees receive a comprehensive benefits package that includes an employer-matched retirement plan, healthcare with medical, dental, vision, and telemedicine, and PTO.
Employees in this role will work in the office Monday through Wednesday with the flexibility to work remotely Thursday and Friday.
Valitana is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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