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About This Role
This is an exciting opportunity to work for one of the top law firms in the U.S.! Davis Wright Tremaine LLP is looking for a Digital Collaboration \& AI Lead to join our team in our Seattle, Portland, San Francisco, Los Angeles, New York, or Washington D.C. offices.
This position offers the flexibility to be fully remote while working within reasonable commuting distance from any of our offices.
The Digital Collaboration \& AI Lead is responsible for leading the strategy, governance, adoption, and continuous improvement of the firm's digital collaboration, productivity, automation, and Microsoft 365/Azure artificial intelligence platforms. This role serves as a key bridge between business stakeholders, legal practice groups, operational departments, technology teams, security teams, and external partners to ensure collaboration and AI initiatives align with firm objectives and deliver measurable business value.
This position provides strategic oversight for a portfolio of capabilities spanning Microsoft 365, Microsoft Teams, SharePoint Online, Microsoft Copilot, Copilot Studio, Power Platform, AI agents, automation services, and emerging collaboration technologies. Responsibilities include roadmap development, platform governance, initiative delivery, adoption strategy, vendor engagement, operational reporting, and executive communications while ensuring solutions comply with the firm's security, compliance, and risk\-management requirements.
At Davis Wright Tremaine, you will find challenging assignments, opportunities for professional growth and community involvement, and a culture of inclusion. DWT fosters inclusiveness and authenticity. Regardless of position, everyone here has a voice and the support is unparalleled.
On a typical day you will:
- Develop and maintain the strategic roadmap for the firm's digital collaboration, productivity, automation, and AI platforms.
- Partner with business leaders, legal practice groups, and IT leadership to identify opportunities for innovation, process improvement, and operational efficiency.
- Evaluate emerging technologies and industry trends to support innovation across the firm and align technology investments with business objectives.
- Lead enterprise\-wide programs and initiatives related to Microsoft 365, Microsoft Copilot, Copilot Studio, Power Platform, Microsoft Teams, SharePoint Online, AI agents, and emerging workplace technologies.
- Manage multiple strategic projects and portfolios simultaneously, ensuring successful delivery within established timelines and priorities.
- Establish governance frameworks, project methodologies, success metrics, reporting standards, and executive communications.
- Create and maintain system documentation, including platform standards, configuration records, governance materials, operational procedures, support resources, and knowledge articles to promote consistency, transparency, and long\-term maintainability.
- Lead the firm's adoption and expansion of Microsoft Copilot, Copilot Studio, AI agents, automation solutions, and related technologies.
- Provide strategic oversight for Microsoft 365 collaboration services and partner with engineering and operations teams to ensure platform reliability, scalability, security, governance, and service excellence.
- Lead organizational change management, communications, training, and adoption programs supporting digital workplace and AI initiatives.
- Serve as a trusted advisor to business leaders, attorneys, administrative departments, and technology teams regarding collaboration and AI initiatives.
- Manage relationships with Microsoft, consulting partners, software vendors, and service providers.
- Partner with Information Security, Risk, Compliance, Information Governance, and Records teams to ensure secure and compliant solutions.
- Support budgeting, forecasting, licensing strategy, capacity planning, and continuous improvement initiatives.
Join us if you have:
- Bachelor's degree in Information Systems, Computer Science, Business Administration, Project Management, or a related field required, or equivalent combination of education and experience.
- 7\+ years of experience leading enterprise technology programs, digital workplace initiatives, or collaboration platforms.
- Experience managing Microsoft 365, Teams, SharePoint, Power Platform, Copilot, or AI\-related initiatives.
- Experience leading cross\-functional technology and business transformation projects.
- Experience managing vendors, consulting partners, and strategic technology relationships.
- Strong understanding of Microsoft 365, Copilot, Copilot Studio, Power Platform, governance, compliance, and AI\-enabled business processes.
- Exceptional communication, presentation, stakeholder management, and facilitation skills.
- Professional services or law firm experience preferred.
- PMP, PgMP, Agile, Scrum, Prosci, Microsoft 365, Copilot, or Power Platform certifications required.
Who We Are
Davis Wright Tremaine LLP is an AmLaw 100 law firm with 9 offices nationwide. We are relentlessly committed to client service and look for candidates who share that commitment. At DWT, client service means having empathy for each client’s and each lawyer’s work and personal pressures, business objectives, and legal needs; anticipating their needs; and having the capabilities and commitment to deliver what matters most to them.
What’s in it For You?
DWT offers competitive compensation in addition to ample benefits including but not limited to:
- Choice of health and vision insurance plans
- 2 paid volunteer days for qualifying community service work
- Dental plan
- Fertility and adoption benefit
- Paid sabbatical after 13 years of service
- Tuition reimbursement
- Commuter benefits
- Retirement contribution
This job description intends to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to include all duties and responsibilities.
Washington State
The annualized salary range for this position in Washington is $151,000 to $168,000\. Actual pay will be adjusted based on the candidate’s education, training, experience and other job\-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, 11 paid holidays each year and an employee assistance program. For full\-time employees, the initial vacation benefit is 15 days per year and 11 days of sick leave per year, accrued bi\-weekly. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.
California
The annualized salary range for this position in Los Angeles is $141,000 to $165,000; and in San Francisco is $163,000 to $180,000\. Actual pay will be adjusted based on experience and other job\-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.
New York
The annualized salary range for this position in New York City is $153,000 to $178,000\. Actual pay will be adjusted based on experience and other job\-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, short term disability, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.
District of Columbia
The annualized salary range for this position in Washington D.C. is $141,000 to $159,000\. Actual pay will be adjusted based on experience and other job\-related factors permitted by law. Full time employees may be eligible for a bonus, health insurance with an optional HSA, short term disability, long term disability, dental insurance, vision care, telemedicine and virtual short term solution based counseling services, life insurance, Healthcare and Dependent Care Flexible Spending Accounts, subsidized backup care and caregiving resources, 401(k), vacation, sick time, and an employee assistance program. Additional voluntary programs include: voluntary accident insurance, voluntary life, voluntary disability, voluntary long term care, and pet insurance. Commuter and Transit programs are also available.
*Davis Wright Tremaine LLP fosters a culture where all talented individuals—including those who are traditionally underrepresented in the legal profession—can have, and can see, paths to success. Our commitment to diversity, equity, and inclusion sits on four pillars: Community, Growth, Education, and Engagement. Learn more about the firm’s commitment to DEI here:**www.dwt.com/dei*.
*Davis Wright Tremaine provides reasonable accommodations for those who need them to complete the application or recruiting process and for employees who need reasonable accommodations to perform the essential functions of their positions due to a disability or for religious reasons. If you need to request accommodation during the application or recruiting process, please email* *humanresources\[email protected]**.*
\#LI\-CH1
Salary Context
This $141K-$180K range is below the median for AI/ML Engineer roles in our dataset (median: $175K across 2162 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 4,317 AI roles we're tracking, AI/ML Engineer positions make up 70% of the market. At Davis Wright Tremaine LLP, 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 $214,900 based on 6,420 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $227,400. This role's midpoint ($160K) sits 25% below the category median. Disclosed range: $141K to $180K.
Across all AI roles, the market median is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. For comparison, the highest-paying categories include AI Safety ($287,500) and Research Engineer ($272,100). By seniority level: Entry: $110,000; Mid: $194,400; Senior: $227,400; Director: $274,554; VP: $241,000.
Davis Wright Tremaine LLP AI Hiring
Davis Wright Tremaine LLP has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Remote, US. Compensation range: $180K - $180K.
Remote Work Context
Remote AI roles pay a median of $180,000 across 1,196 positions. About 15% of all AI roles offer remote work.
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 4,317 open positions tracked in our dataset. By seniority: 138 entry-level, 2,071 mid-level, 1,655 senior, and 453 leadership roles (Director, VP, C-Level). Remote roles make up 15% of the market (635 positions). The remaining 3,657 roles require on-site or hybrid attendance.
The market median for AI roles is $215,000. Top-quartile compensation starts at $266,300. The 90th percentile reaches $320,790. Highest-paying categories: AI Safety ($287,500 median, 34 roles); Research Engineer ($272,100 median, 227 roles); AI Engineering Manager ($244,000 median, 23 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 4,317 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (3,004), Data Scientist (345), AI Software Engineer (309). 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 (138) are outnumbered by mid-level (2,071) and senior (1,655) 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 453 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 15% of all AI roles (635 positions), with 3,657 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 $215,000. Top-quartile roles start at $266,300, and the 90th percentile reaches $320,790. 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 $287,500 median, while Prompt Engineer roles sit at $145,000. 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 (2,249 postings), Aws (1,224 postings), Azure (938 postings), Rag (915 postings), Gcp (660 postings), Pytorch (640 postings), Prompt Engineering (624 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
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