Interested in this AI Agent Developer role at World Wide Technology?
Apply Now →Skills & Technologies
About This Role
Qualifications:
- 5+ years managing a specialty technical pre-sales or solutions team with a track record of meeting key objectives
- 7+ years in cloud, platform engineering, IT operations, or automation architecture
- 7-10 years of technical sales industry experience or equivalent
- Cloud, FinOps, or AI governance certifications; hands-on experience deploying production agentic systems
Other Work Experience
- Strong leadership, diplomatic, and motivational skills, with the ability to lead up, across, and down multiple business and technology organizations
- Understanding of WWT business functions and organization, including Sales, Marketing, Partner Management, Services, and GS&A
- Proven ability to work creatively and analytically in a problem-solving environment, demonstrating teamwork, innovation, and excellence
- Self-directed, with the ability to adapt to change and competing demands
Knowledge, Skills, and Abilities
- Working knowledge of agent frameworks and orchestration patterns (MCP, multi-agent architectures, tool use), and of the major agent platforms across AWS, Azure, and GCP
- Experience with AIOps, observability, identity and access management, and policy tooling as applied to autonomous agents, including consumption-based and token pricing models
- Demonstrated partner relationship management with leading hyperscaler and AI platform OEMs
- Excellent verbal, written, and presentation skills, with the ability to represent technical solutions to C-level audiences
- Pipeline management and analysis using Salesforce, Tableau, and the Microsoft Office suite
- Ability to mentor, motivate, and develop high-performance teams
- Remote work experience with Webex, Microsoft Teams, and other collaboration tools
Estimated Amount of Travel
Up to 40% of the time
Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $150,000.00 to $190,000.00 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.
The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:
- Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
- Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
- Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
- Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program
Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.
We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!
If you require accessibility accommodation(s) or adjustment during any stage of the hiring
process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.
World Wide Technology is an Equal Opportunity Employer.
#LI-DP2
#LI-Remote
Requirements: Why WWT?
World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.
Founded in 1990, WWT brings together strategy, deep technical expertise and world-class
partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)—a collaborative ecosystem featuring state-of-the-art hardware and software—WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities.
With more than 14,000 team members and over 60 locations globally, WWT's culture—grounded in core values and leadership philosophies—has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.
Want to work with highly motivated individuals on high-performance teams? Join WWT today!
What will you be doing?
The Senior Practice Manager, AI Agentic Ops is a people-focused technical sales leader responsible for strategy, go-to-market, and thought leadership for agentic operations within Applied AI: the design, deployment, governance, and run-state management of AI agents in enterprise environments. This leader provides technical direction and business guidance to corporate leaders and field sales, builds and develops a team of high-performing technical solution architects and specialists, and helps meet global gross profit and net contribution goals through innovative technical programs and field enablement.
The role leads partner execution across hyperscaler, agent platform, and AI control plane vendors, and works across the Workforce AI, AI-Native Engineering, Data Platforms, and Emerging AI practices so that operational readiness, governance, and cost control are part of every agentic engagement.
Responsibilities:
- Develop and execute the AI Agentic Ops go-to-market strategy, including agent lifecycle management, observability, governance, and operating models for production agents
- Lead, coach, and develop the team, using tools such as the Job Performance Matrix to manage performance, development, and engagement
- Build and productize agentic readiness and operating model assessments that convert into advisory and delivery engagements
- Support partner execution, including joint sales plays, co-sell motions, enablement, and pipeline development with hyperscaler, agent platform, and AI control plane partners
- Help define reference architectures, workshops, briefings, and demos covering agent orchestration, identity and access for agents, policy enforcement, monitoring, and incident response
- Establish governance and risk frameworks aligned to NIST AI RMF, the EU AI Act, and sector-specific requirements, including human-in-the-loop controls, auditability, and agent permissioning
- Partner with security and FinOps teams on agent security posture and token and consumption cost governance
- Drive field enablement through virtual teams, roadshows, and all-hands meetings, and provide business leadership to sales teams on account profiling and sales plays with CIO, CTO, COO, CISO, and line-of-business stakeholders
- Drive the team in creating technical proposals, leveraging Professional Services, Global Supply Chain, ATC Labs, and the AI Proving Ground to enable complete solutions
- Contribute to practice marketing strategy and own content and topic strategy for the practice on the digital platform
- Influence the technical resource plan and technical business plan for the practice, compiling customer, partner, and account team feedback with market and industry trends
- Track and report team metrics, including notables, opportunities, and big bets
- Collaborate with the Workforce AI, AI-Native Engineering, Data Platforms, and Emerging AI practices so agentic operations is built into each practice's offerings
- Represent WWT at industry events, including AI Days, and lead sessions with customers and partners
- Advocate for continual improvement in partner experience to build brand loyalty and value
- Be a culture contributor and builder
Salary Context
This $150K-$190K range is below the median for AI Agent Developer roles in our dataset (median: $178K across 36 roles with salary data).
View full AI Agent Developer salary data →Role Details
About This Role
AI Agent Developers build autonomous systems that can reason, plan, and take actions. They design multi-step workflows, tool-use frameworks, and orchestration layers that let LLMs interact with external systems. This is the frontier of applied AI engineering.
Agent development is where the most interesting (and hardest) problems in applied AI live right now. Making an LLM answer a question is straightforward. Making it reliably execute a 15-step workflow that involves calling APIs, reading databases, making decisions, and recovering from errors is an unsolved problem. You're building systems that have to work despite the fact that the underlying model is non-deterministic.
Across the 11,520 AI roles we're tracking, AI Agent Developer positions make up 1% of the market. At World Wide Technology, this role fits into their broader AI and engineering organization.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
What the Work Looks Like
A typical week includes: designing the action space and tool definitions for a new agent use case, debugging why the agent chose the wrong action sequence on a specific input, building evaluation frameworks that test agent reliability across hundreds of scenarios, optimizing the prompt chain for cost and latency, and implementing safety guardrails to prevent the agent from taking destructive actions. The work is equal parts engineering and empirical science.
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
Skills Required
Deep experience with LLM APIs and agent frameworks (LangChain, CrewAI, AutoGen). Strong understanding of prompt engineering, function calling, and error handling for non-deterministic systems. Python is standard. Experience with orchestration patterns, state management, and workflow engines adds significant value.
The best agent developers think like systems engineers. They design for failure modes, build observability into every step, and understand that agent reliability is the product. Expertise in evaluation methodology for non-deterministic systems is the differentiator. Can you measure whether your agent works 'well enough'? Can you find the edge cases where it breaks?
Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
Compensation Benchmarks
AI Agent Developer roles pay a median of $215,000 based on 212 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $230,000. This role's midpoint ($170K) sits 21% below the category median. Disclosed range: $150K to $190K.
Across all AI roles, the market median is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($266,050) and AI Engineering Manager ($253,461). By seniority level: Entry: $112,320; Mid: $193,200; Senior: $230,000; Director: $272,250; VP: $235,830.
World Wide Technology AI Hiring
World Wide Technology has 18 open AI roles right now. They're hiring across AI Agent Developer, AI/ML Engineer, MLOps Engineer. Positions span Remote, US, Maryland Heights, MO, Dallas, TX, US. Compensation range: $92K - $190K.
Remote Work Context
Remote AI roles pay a median of $188,200 across 2,430 positions. About 6% of all AI roles offer remote work.
Career Path
Common paths into AI Agent Developer roles include Software Engineer, LLM Engineer, Prompt Engineer.
From here, career progression typically leads toward AI Architect, Principal Engineer, Head of AI Engineering.
Build agents. That's the portfolio. Take an open-source agent framework, build something that completes a non-trivial multi-step task, evaluate it rigorously, and document what you learned about reliability, cost, and failure modes. The field is new enough that practical experience counts for more than credentials.
What to Expect in Interviews
Interviews focus on systems thinking and reliability engineering. Expect questions about agent architecture: how you'd design a multi-step workflow with error recovery, how you'd evaluate agent performance, and how you'd prevent agents from taking destructive actions. Coding exercises often involve building a simple agent with tool use and evaluating its behavior across different scenarios. Discussion of safety and guardrails is increasingly common.
When evaluating opportunities: Look for roles that describe specific agent use cases, mention evaluation methodology, and talk about production deployment. Early-stage companies exploring agents can be exciting, but be prepared for ambiguity. The most valuable roles are at companies that have already shipped a v1 and need to make it reliable.
AI Hiring Overview
The AI job market has 11,520 open positions tracked in our dataset. By seniority: 140 entry-level, 5,630 mid-level, 4,176 senior, and 1,574 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (708 positions). The remaining 10,737 roles require on-site or hybrid attendance.
The market median for AI roles is $213,480. Top-quartile compensation starts at $264,000. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($266,050 median, 70 roles); AI Engineering Manager ($253,461 median, 58 roles); Research Engineer ($252,000 median, 476 roles).
AI Agent Developer is one of the newest and fastest-growing AI role categories. The market is early but accelerating as companies move beyond simple chatbots toward AI systems that can take real actions. Compensation is high because the skill set is rare and the business impact is potentially enormous.
The AI Job Market Today
The AI job market spans 11,520 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (8,769), AI Software Engineer (586), AI Product Manager (511). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (140) are outnumbered by mid-level (5,630) and senior (4,176) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,574 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (708 positions), with 10,737 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,480. Top-quartile roles start at $264,000, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $266,050 median, while Prompt Engineer roles sit at $140,000. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (2,267 postings), Aws (1,178 postings), Azure (972 postings), Rag (924 postings), Gcp (715 postings), Pytorch (586 postings), Claude (572 postings), Kubernetes (559 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
Get Weekly AI Career Intelligence
Salary data, skills demand, and market signals from 16,000+ AI job postings. Every Monday.