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About This Role
Mid\-Mkt Sales Engineering Manager \| Senior Level \| Full time
Job No. R00315571 \| Multiple Locations
The beginning of a new Data \& AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data \& AI — backed by a $3B investment and commitment to our people to do industry\-defining work.
With over 45,000 professionals dedicated to Data \& AI, Accenture’s Data \& AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
As part of our Data \& AI group, you will lead technology innovation for our clients through robust delivery of world\-class solutions. There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever\-changing technology landscape.
The Accenture Mid\-market business is a core growth driver within Accenture, focused on helping Mid\-market companies reinvent, scale, and compete with the agility required in today’s market. Mid\-market organizations share the same bold ambitions as large enterprises, they are undergoing a significant transformation, driven by the need to modernize operations, accelerate growth, and respond to evolving industry demands. Accenture brings the full strength of our global capabilities—deep industry expertise, ecosystem partnerships, and proven innovation—to make enterprise‑grade solutions accessible, scalable, and simplified for mid‑market needs.
Powered by curated offerings, preconfigured solutions, accelerators, and AI‑enabled delivery models, Accenture Mid\-market brings together teams across our global network to help clients drive real ROI, innovate faster, and transform with confidence. The Mid\-market portfolio spans repeatable, industrialized solutions across technology, operations, security, cloud, and industry\-specific needs to meet clients where they are on their reinvention journey.
We are looking to expand our Mid\-market team with the best talent, who have experience in the mid\-market, across the business suite, and across functions, that will enable us to continue to drive transformations at scale.
This role focuses on delivering end to end agentic AI solutions while providing advanced technical expertise to support complex Mid\-market customer engagements. The scope spans intelligent systems, full stack solution development, and human AI interaction, alongside close collaboration with Sales to translate business challenges into scalable, production ready solutions.
The role contributes to building and positioning cloud based, customizable agentic AI offerings, combining hands on solution development with discovery, technical validation, and customer facing demonstrations to enable credible, differentiated AI as a Service outcomes.
Key Responsibilities
- Participate in discovery sessions to identify customer challenges, objectives, and technical requirements
- Lead technical demos, workshops, and proof of concept engagements to demonstrate solution fit and value
- Contribute to technical solution design and input into proposals, statements of work, and contracts
- Provide technical guidance on industry use cases, best practices, and pre\-delivery considerations
- Design, build, deploy, and operate end to end, human centered agentic AI prototypes across frontend, backend, data, and intelligent components based on customer requirements.
- Support complex Mid Market sales opportunities by partnering with Sales to shape advanced technical solutions
- Work with existing customers to understand and anticipate their evolving needs and provide guidance to address such needs.
- Collaborate across product, business, and sales teams to deliver cohesive technical and customer facing outcomes
Travel may be required for this role. Travel can vary between 0\-100% depending on client requirements.
Here's What You Need:
- Minimum of 5 years of experience in a client‑facing technical sales engineering role supporting clients, partnering with sales teams to shape and articulate complex technical solutions, and leading technical discovery, solution design, and customer‑facing demos or proof‑of‑concept engagements
- Minimum 5 years of professional experience in software development, platform development, or applied AI systems
- Minimum of 5 years experience participating in technical discovery, solution design, and customer facing demo or proof of concept engagements
- Minimum 7 years experience in computer science fundamentals, including data structures, algorithms, and system design with proven experience building and deploying production ready, web based systems and working across the software development lifecycle
- Advanced programming experience in one or more languages such as Java, JavaScript, Python, C/C\+\+, or equivalent
- Minimum 2 years hands on experience applying AI/ML/NLP technologies to real world problems, including the ability to understand and implement current research
- Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Bonus Points if You Have:
- Advanced degree (M.S. or Ph.D.) in an interdisciplinary field intersecting Computer Science, Mathematics, Cognitive Science, or a related discipline
- Experience with cloud based, largescale SaaS and distributed system architectures
- Experience supporting advanced technical sales motions, including workshops and complex solution positioning
- Experience delivering humancentered AI systems into production
- Familiarity with modern data systems, APIs, and \*nixbased development environments
- Knowledge in one or more domains such as artificial intelligence, machine learning, natural language processing, or distributed systems
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 03/25/2026
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long\-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits \| Accenture
Role Location Annual Salary Range
California $94,400 to $276,500
Cleveland $87,400 to $221,200
Colorado $94,400 to $238,900
District of Columbia $100,500 to $254,400
Illinois $87,400 to $238,900
Maryland $94,400 to $238,900
Massachusetts $94,400 to $254,400
Minnesota $94,400 to $238,900
New York $87,400 to $276,500
New Jersey $100,500 to $276,500
Washington $100,500 to $254,400
\#LI\-NA
\#LI\-MP
New York City, NY
Albany, NY
Arlington, VA
Atlanta, GA
Austin, TX
Beaverton, OR
Bentonville, AR
Boston, MA
Carmel, IN
Charlotte, NC
Chicago, IL
Cincinnati, OH
Cleveland, OH
Columbus, OH
Culver City, CA
Denver, CO
Des Moines, IA
Detroit, MI
Hartford, CT
Houston, TX
Irving, TX
Kirkland, WA
Miami, FL
Milwaukee, WI
Minneapolis, MN
Morristown, NJ
Mountain View, CA
Nashville, TN
Oklahoma City, OK
Overland Park, KS
Philadelphia, PA
Pittsburgh, PA
Raleigh, NC
Redmond, WA
Sacramento, CA
San Diego, CA
San Francisco, CA
Scottsdale, AZ
Seattle, WA
St. Louis, MO
St. Petersburg, FL
Walnut Creek, CA
Requesting an Accommodation
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If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877\) 889\-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
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Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
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Salary Context
This $87K-$276K range is above the 75th percentile for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At Logic, Inc., this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($181K) sits 9% above the category median. Disclosed range: $87K to $276K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
Logic, Inc. AI Hiring
Logic, Inc. has 47 open AI roles right now. They're hiring across AI/ML Engineer, AI Software Engineer, AI Consultant. Positions span New York, NY, US, Atlanta, GA, US, Chicago, IL, US. Compensation range: $93K - $434K.
Location Context
AI roles in New York pay a median of $200,000 across 1,670 tracked positions. That's 9% above the national median.
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). 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 (2,416) are outnumbered by mid-level (16,247) and senior (5,153) 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 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 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 $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. 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 Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. 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: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 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
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