Mid Level Consultant Clinical Psychologist Jobs
Mid level consultant clinical psychologist jobs go to clinicians ready to own complex caseloads, guide less experienced colleagues, and shape care decisions with minimal supervision. Openings are available across on-site, remote, and hybrid settings in Accounting & Auditing, Healthcare & Medical Services, and Consulting & Professional Services, with employers like EisnerAmper, Huron Consulting, and EY hiring at this level now.
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Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of %10 subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
Description
Job Summary
The AI Software Consulting Engineer is responsible for designing, developing, integrating, and deploying artificial intelligence and machine learning solutions for clients. This client-facing, billable role provides high-quality deliverables and ensures solutions are implemented as designed to the client’s satisfaction and approval. The engineer gains a clear understanding of client requirements, data and application environments, and operational constraints in order to deliver secure, supportable AI applications and MLOps capabilities.
What You Will Do
- Manage time and expense to meet or exceed expectations defined in the Statement of Work, proactively escalating potential scope, schedule, or budget issues as soon as they are known.
- Develop and deploy AI applications, model-serving workflows, APIs, retrieval-augmented generation solutions, and integrations with enterprise systems and data sources.
- Implement NVIDIA NIM, NVIDIA Blueprints, containerized AI services, and supporting software components as applicable to customer requirements.
- Build and execute test plans covering functionality, performance, reliability, security, and operational handoff for assigned deliverables.
- Troubleshoot software, model, API, data, container, and platform integration issues across diverse customer environments.
- Provide technical input for SOWs, ROMs, LOEs, implementation plans, and solution validation when requested.
- Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials.
What We Expect of You
- Bachelor's degree and 3 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support OR 7 year’s experience delivering software, data, or AI/ML solutions, including development, implementation, integration, and support.
- Demonstrated software development experience using Python and common engineering practices such as version control, code review, testing, and documentation.
- Experience developing or integrating REST APIs, services, data pipelines, or event-driven components.
- Working knowledge of containers, Kubernetes, Linux, Git, CI/CD, and enterprise data-center deployment environments.
- Understanding of AI/ML concepts, including model inference, embeddings, retrieval-augmented generation, vector search, evaluation, and model lifecycle considerations.
- Familiarity with NVIDIA NIM, NVIDIA Blueprints, PyTorch, Hugging Face, LangChain, LangGraph, or comparable AI application frameworks.
- Ability to implement secure integrations with enterprise identity, data, application, and observability services.
- Strong written and verbal communication skills with the ability to effectively interact with leadership stakeholders and clients.
- Proven ability to create technical documentation and transfer knowledge to client technical teams.
- Demonstrated attention to detail, analytical problem solving, and the ability to balance competing priorities while meeting deadlines.
- Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs.
- Ability and willingness to travel as needed to CDW locations or client sites.
- Valid U.S. driver's license.
- Experience delivering generative AI, agentic AI, RAG, model-serving, or MLOps solutions in enterprise environments, is a plus.
- Experience with vector databases, model gateways, AI observability, evaluation frameworks, guardrails, or prompt-management tooling, is a plus.
- Familiarity with GPU infrastructure, NVIDIA AI Enterprise, CUDA dependencies, and the relationship between AI software and accelerated hardware, is a plus.
- Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Associate Generative AI LLMs (NCA-GENL) and NVIDIA-Certified Associate Multimodal Generative AI (NCA-GENM), is a plus.
Pay range: $77,725 - $108,265 depending on experience and skill set
Annual bonus target of %10 subject to terms and conditions of plan
Benefits overview: https://cdw.benefit-info.com/
Salary ranges may be subject to geographic differentials
CDW is committed to being an AI-fluent organization
We’re looking for people who bring curiosity, a learner’s mindset, and a willingness to engage with ever-evolving technology and tools. We value adopting AI as a partner, openness to experimentation, and a shared interest in learning together on AI. Our goal is to create a culture where AI enhances—not replaces—human creativity and decision-making. You don’t need to be an expert today; what matters is your readiness to explore, adapt, and grow with us as we integrate AI responsibly and effectively into our work.Additionally, CDW is committed to fostering an equitable, transparent, and respectful hiring process for all applicants. During our application process, our goal is to understand your experience, strengths, skills, and qualifications. As an AI forward company, we see AI not just as a tool, but as a catalyst for new ways of thinking, creating, and communicating. We encourage candidates to embrace an AI mindset, one that’s curious, adaptive, and ready to explore what’s possible. We welcome thoughtful use of AI to expand your perspective and elevate how you share your story, while ensuring your application remains rooted in your own background, judgment, and voice.
About Us
CDW is a Fortune 500 technology solutions provider that helps businesses, government, education, and healthcare organizations achieve what’s possible through technology. What makes CDW different isn’t just what we do—it’s how we do it. At CDW we act as one—building trust, speaking candidly, and working together to achieve more. We play to win—focusing on what matters most and delivering for our customers. And we think forward—staying curious, moving fast, and continuously learning. We believe meaningful work happens when people feel supported, heard, and empowered to contribute. That’s why we think of ourselves as coworkers, not just employees—working together to solve complex challenges and deliver real impact for our customers and communities.
As a full‑stack, full‑lifecycle technology partner, CDW brings deep expertise, strong relationships, and broad industry knowledge to help turn ideas into outcomes. When you join CDW, you become part of a collaborative environment where your work matters, your growth is supported, and your contributions help shape what’s next.
Together, we deliver the full promise of what technology can do. Together, we Make Amazing Happen.
CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.
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Find JobsMid Level Consultant Clinical Psychologist Job Market
Who's Hiring
- EisnerAmper17
- Huron Consulting6
- EY5
- Deloitte3
- Simpson Gumpertz & Heger3
Top Industries Hiring
- Accounting & Auditing29
- Healthcare & Medical Services14
- Consulting & Professional Services14
- Education4
- Technology & Software4
Mid Level Consultant Clinical Psychologist Jobs: Frequently Asked Questions
How do I get a mid level consultant clinical psychologist job?
Position yourself by highlighting ownership, not just participation. Emphasize caseloads you managed independently, assessments you led, and clinical decisions you made without close supervision. Applications stand out when they show specialized competency in a population or treatment modality, documented outcomes, and evidence of contributing to team development or clinical governance rather than simply executing assigned tasks.
Which companies hire mid level consultant clinical psychologists?
Companies hiring mid level consultant clinical psychologists right now include EisnerAmper, Huron Consulting, and EY, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from large health systems, behavioral health networks, and specialized outpatient practices that need clinicians who can carry a full caseload and contribute to service development without requiring close clinical oversight.
Are there remote mid level consultant clinical psychologist jobs?
Yes, though telehealth eligibility varies by state licensure and service type. About 59% of mid level consultant clinical psychologist openings are remote or hybrid as of November 2026, with the strongest remote availability in assessment, consultation, and outpatient therapy roles where in-person requirements are limited to initial intake or specific clinical protocols.
How do I move up to a mid level consultant clinical psychologist role?
Moving from early-career to mid level means building depth beyond supervised hours. Focus on specializing in a clinical population or evidence-based model, taking ownership of full assessment and treatment cycles, and generating measurable outcomes you can speak to. Clinicians who step into peer consultation, contribute to quality improvement projects, or take on student supervision make the transition faster because they demonstrate readiness for independent practice.
Which industries hire the most mid level consultant clinical psychologists?
Mid Level consultant clinical psychologist roles concentrate in Accounting & Auditing, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they require clinicians who can manage complex presentations, integrate with multidisciplinary teams, and sustain service quality without day-to-day clinical management.