artificial intelligence engineer

SWATX

<div>AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
agentic, multimodal, and speech-enabled systems.
Responsibilities
Analyze requirements and contribute to technical AI solution design.<ul><li>Strong programming skills in Python (mandatory).</li><li>Experience in backend development (APIs, microservices, model serving).</li><li>Hands-on experience with local LLM deployment and optimization.</li><li>Experience in RAG system design and vector databases.</li><li>Practical experience in model fine-tuning (LoRA / PEFT).</li><li>Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.</li><li>Experience working in Linux environments.</li><li>Participate in peer code reviews and team planning activities.</li><li>Provide task estimations and deliver within approved timelines.</li><li>Apply secure coding practices and participate in bug resolution with quality metrics in mind.</li></ul> 
 
 
Requirements 
Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
3-5 years of experience in AI Engineering.
Proficiency in C#, .NET Core and Python.
Experience with Structured and Unstructured databases.
Experience with Angular or other frontend technologies is a strong plus.
Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
Familiarity with Git, RESTful services, and Agile development methodologies</div>

Senior Artificial Intelligence Engineer

<div>
 AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-
 
 
 premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using
 
 
 primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG,
 
 
 agentic, multimodal, and speech-enabled systems.
 
 
 
 Responsibilities
 
 
 
 Analyze requirements and contribute to technical AI solution design.
 
 
 ∙Strong programming skills in Python (mandatory).
 
 
 ∙Experience in backend development (APIs, microservices, model serving).
 
 
 ∙Hands-on experience with local LLM deployment and optimization.
 
 
 ∙Experience in RAG system design and vector databases.
 
 
 ∙Practical experience in model fine-tuning (LoRA / PEFT).
 
 
 ∙Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 
 
 ∙Experience working in Linux environments.
 
 
 ∙Participate in peer code reviews and team planning activities.
 
 
 ∙Provide task estimations and deliver within approved timelines.
 
 
 ∙Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 
 Requirements
 
 
 
 Bachelor's degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 
 
 3-5 years of experience in AI Engineering.
 
 
 Proficiency in C#, .NET Core and Python.
 
 
 Experience with Structured and Unstructured databases.
 
 
 Experience with Angular or other frontend technologies is a strong plus.
 
 
 Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 
 
 Familiarity with Git, RESTful services, and Agile development methodologies
</div>

Vanderbilt University

<div>*This position does not provide sponsorship for employment now, or in the future, in any format.
Position Summary:
 
The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. The Education Design &amp; Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt's MD program and affiliated health professions education. We maintain a comprehensive education data lake in Databricks, a custom digital learning platform (VSTAR), and a vision for AI-augmented medical education that we're ready to operationalize. 
 
We're seeking an AI Engineer to help us realize our vision for precision medical education&mdash;using data and AI to personalize learning, predict learner needs, and improve educational outcomes at scale. 
 
You'll be our first dedicated AI/ML role, working alongside a data engineer, full-stack developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for learners and educators, semantic search across educational content, recommendation systems for personalized learning pathways, and integration of AI capabilities into VSTAR. As our AI maturity grows, you'll also contribute to predictive modeling efforts, including early identification of at-risk learners and competency progression analytics. 
 
This is a high-ownership, foundational role. You'll shape AI strategy and implementation from the ground up, taking features from concept through production deployment. You'll work closely with educational leadership
 
to identify opportunities where AI can meaningfully improve how we train future physicians.
This position is fully remote and reports directly to the Director of Education Design &amp; Informatics. Open to hybrid availability if interested. 
 
About the Work Unit:
 
The Office of Health Sciences Education (OHSE) administers the degree programs of the Vanderbilt University
 
School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, servant leadership, and
 
lifelong learning. OHSE staff provide comprehensive support across academic program administration,
 
educational design and informatics, student services, and financial and operational oversight. 
 
In alignment with VUSM&rsquo;s commitment to excellence, OHSE works to prepare future leaders in the health
 
professions who are equipped with the knowledge, skills, and judgment needed to deliver safe, effective, ethical, and patient-centered care. Our students are encouraged to think critically, foster innovation, and understand the broader systems and social factors that shape health outcomes&mdash;empowering them to advocate for positive change in both local and global communities.
Key Functions and Expected Performance:
 
AI Application Development
<ul><li>Design and build AI-powered features for VSTAR and other EDI platforms, including intelligent
 </li></ul>tutoring capabilities, semantic search, content recommendations, and LLM-based tools for learners
 
and educators
 
<ul><li>Apply appropriate AI implementation patterns and strategies such as RAG architectures,
 </li></ul>agentic workflows, prompt engineering strategies, and LLM orchestration patterns appropriate to
 
educational use cases
 
<ul><li>Develop backend services and APIs that expose AI capabilities for integration into VSTAR and
 </li></ul>other applications, working with the development team to determine appropriate integration patterns
 
<ul><li>Evaluate vender versus open-source AI products and services based on performance, cost, and
 </li></ul>reliability considerations
 
<ul><li>Ensure responsible AI practices, including appropriate guardrails, content filtering, and
 </li></ul>transparency in AI- assisted features
<div>ML Engineering &amp; Production Systems
 
<ul><li>Build and maintain ML pipelines in Databricks for feature engineering, model training, and
 </li></ul>evaluation
 
<ul><li>Deploy models and AI services to production with appropriate monitoring, logging, and error
 </li></ul>handling
 
<ul><li>Implement MLOps practices proportionate to our maturity: version control, testing,
 </li></ul>documentation, and reproducibility
 
<ul><li>Ensure performance, reliability, and scalability of AI-powered services
</li><li>Own the full lifecycle of deployed AI features, including maintenance, iteration, and
 </li></ul>retirement
 
<ul><li>Contribute to predictive modeling initiatives addressing educational challenges such as
 </li></ul>learner performance prediction, early intervention identification, and resource optimization
</div><div>Collaboration &amp; Strategy
 
<ul><li>Partner with data engineering to ensure AI systems integrate cleanly with our data
 </li></ul>infrastructure
 
<ul><li>Collaborate with software developers to integrate AI features into existing applications
</li><li>Proactively communicate progress, challenges, and decisions to the team through regular
 </li></ul>check-ins, documentation, and asynchronous updates
 
<ul><li>Work with product and educational leadership to identify high-impact AI opportunities
</li><li>Contribute to EDI's AI strategy and help establish best practices for responsible AI
 </li></ul>development in medical education
 
<ul><li>Maintain clear documentation and support knowledge sharing across the team
</li><li>Stay current with developments in AI tooling, particularly as they apply to education and
 </li></ul>knowledge work
</div><div>Education and Certifications:
 
<ul><li>A Bachelor&rsquo;s degree in a related field from an accredited institution of higher education is
 </li></ul>necessary.
</div><div>Experience and Skills:
 
<ul><li>5 &ndash; 7 years of experience i s required.
</li><li>Experience in applied machine learning, AI engineering, or a related field (3+ years) is
 </li></ul>necessary.
 
<ul><li>Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or
 </li></ul>TensorFlow (3+ years) i s necessary.
 
<ul><li>Hands-on experience building applications with LLMs, including prompt engineering,
 </li></ul>embeddings, retrieval-augmented generation, and agents (1+ years) is necessary.
 
<ul><li>Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+
 </li></ul>years) is necessary.
 
<ul><li>Track record of deploying AI or ML features to production environments (1+ years) is
 </li></ul>necessary.
 
<ul><li>Comfort with SQL and working with data pipelines (3+ years) is necessary.
</li><li>Ability to communicate technical concepts clearly to non-technical audiences (3+ years) is
 </li></ul>necessary.
 
<ul><li>Experience with Databricks and Azure cloud services (1+ years) is preferred.
</li><li>Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+
 </li></ul>years) is preferred.
 
<ul><li>Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is
 </li></ul>preferred.
 
<ul><li>Experience working with multiple LLM providers or open source LLMs and evaluating tradeoffs
 </li></ul>(1+ years) is preferred.
 
<ul><li>Background in building predictive models (classification, regression, forecasting) (1+ years)
 </li></ul>is preferred.
 
<ul><li>Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred.
</li><li>Familiarity with the unique considerations of AI in educational contexts (pedagogical
 </li></ul>alignment, learner privacy, appropriate automation) (1+ years) is preferred.
 
Demonstrated self-direction and ownership mentality in previous roles is necessary.</div></div>

Applied Artificial Intelligence Engineer

Artificial Intelligence Engineer

Enzo Tech Group

<div>
 
 
 AI Engineer | Enterprise AI Transformation | Fortune 50 Client
 
 
 
 
 
 
 I&rsquo;m currently working with a
 
 Fortune 50 global organisation
 
 that is investing heavily in
 
 AI and machine learning to transform large-scale enterprise systems
 
 .
 
 
 
 
 
 They are looking for an
 
 AI Engineer
 
 to join a team building
 
 production-grade AI solutions
 
 that will operate across complex enterprise environments. This is a
 
 hands-on engineering role
 
 , ideal for someone who enjoys taking
 
 ML models from development into real-world deployment
 
 .
 
 
 
 
 
 
 What you&rsquo;ll be working on
 
 
 <ul>
 <li>
 Designing and deploying
 
 AI/ML models in production environments
 
 </li>
 <li>
 Building scalable
 
 machine learning pipelines
 
 </li>
 <li>
 Working with
 
 large enterprise datasets and systems
 
 </li>
 <li>
 Integrating AI capabilities into
 
 enterprise platforms
 
 </li>
 <li>
 Collaborating with engineering and architecture teams to scale AI adoption
 </li>
 </ul>
 
 
 
 
 
 Key skills
 
 
 <ul>
 <li>
 Strong experience with
 
 Python
 
 </li>
 <li>
 Experience building and deploying
 
 machine learning models
 
 </li>
 <li>
 Knowledge of
 
 AI/ML frameworks and data pipelines
 
 </li>
 <li>
 Experience working in
 
 cloud environments
 
 </li>
 <li>
 Familiarity with enterprise AI tools such as
 
 IBM Watson / Watsonx
 
 is a plus
 </li>
 </ul>
 
 
 
 
 
 Why this role is interesting
 
 
 <ul>
 <li>
 Opportunity to work with a
 
 Fortune 50 organisation
 
 </li>
 <li>
 
 Large-scale AI transformation projects
 
 </li>
 <li>
 Real-world
 
 production AI systems
 
 </li>
 <li>
 Collaboration with
 
 global engineering teams
 
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re an
 
 AI Engineer
 
 interested in working on
 
 enterprise-scale AI solutions
 
 , feel free to
 
 apply below
 
 .
 
</div>

WilmerHale

<div><div>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

About the Role

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
What You Will Be Doing
<ul><li> Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.</li></ul>
<ul><li> Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.</li></ul>
<ul><li> Optimizes existing generative AI models for improved performance, scalability, and efficiency.</li></ul>
<ul><li> Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.</li></ul>
<ul><li> Contributes to the establishment of best practices and standards for AI development within the organization.</li></ul>
<ul><li> Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.</li></ul>
<ul><li> Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.</li></ul>
<ul><li> Provides technical mentorship and guidance to other team members.</li></ul>
<ul><li> Creates and delivers end-user training and documentation and provides second-line support to other users.</li></ul>
<ul><li> Displays professionalism, quality service and a positive &quot;can do&quot; attitude to internal members/departments of the Firm.</li></ul>
<ul><li> Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.</li></ul>
<ul><li> Participates in special projects and performs other duties as assigned.</li></ul>
</div>
<div>Required Skills
</div>
<div>What You Will Bring to This Position
<ul><li> Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,</li></ul>
<ul><li> Experience building recommendation models.</li></ul>
<ul><li> Strong knowledge of data structures, algorithms, and software engineering principles.</li></ul>
<ul><li> Familiar with cloud-based platforms and services, such as Azure or AWS.</li></ul>
<ul><li> Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.</li></ul>
<ul><li> Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.</li></ul>
<ul><li> Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.</li></ul>
<ul><li> Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.</li></ul>
<ul><li> Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.</li></ul>
<ul><li> Willingness and ability to learn and use new technologies as the need arises.</li></ul>
<ul><li> Ability to work effectively with both users and technical staff in team-oriented environments.</li></ul>
<ul><li> Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.</li></ul>
<ul><li> Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.</li></ul>
<ul><li> A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
</li></ul><ul><li> Hands-on experience with LLMs fine-tuning is a plus.</li></ul>
<ul><li> Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.</li></ul>
<ul><li> The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.</li></ul>
</div>
<div>Required Experience
</div><div><ul><li>1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3</li>
<li>2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology</li>
<li>4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus</li>
<li>Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)</li>
</ul>
Education
<ul>
<li>Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.</li></ul> 


Our Commitment

Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
For more information about Equal Employment Opportunity, please click here.

Hire in salary range is $135,000 - $169,000
<ul><li> For additional information about our benefits, please click here</li></ul>

#L1-KB1

#L1-Hybrid

This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
</div>
<div>Job Location
</div><div>Boston, Massachusetts, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>135,000.00 - 169,000.00 USD</div></div>

Artificial Intelligence (AI) Engineer

<div><div>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.

About the Role

The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
What You Will Be Doing
<ul><li> Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.</li></ul>
<ul><li> Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.</li></ul>
<ul><li> Optimizes existing generative AI models for improved performance, scalability, and efficiency.</li></ul>
<ul><li> Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.</li></ul>
<ul><li> Contributes to the establishment of best practices and standards for AI development within the organization.</li></ul>
<ul><li> Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.</li></ul>
<ul><li> Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.</li></ul>
<ul><li> Provides technical mentorship and guidance to other team members.</li></ul>
<ul><li> Creates and delivers end-user training and documentation and provides second-line support to other users.</li></ul>
<ul><li> Displays professionalism, quality service and a positive &quot;can do&quot; attitude to internal members/departments of the Firm.</li></ul>
<ul><li> Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.</li></ul>
<ul><li> Participates in special projects and performs other duties as assigned.</li></ul>
</div>
<div>Required Skills
</div>
<div>What You Will Bring to This Position
<ul><li> Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,</li></ul>
<ul><li> Experience building recommendation models.</li></ul>
<ul><li> Strong knowledge of data structures, algorithms, and software engineering principles.</li></ul>
<ul><li> Familiar with cloud-based platforms and services, such as Azure or AWS.</li></ul>
<ul><li> Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.</li></ul>
<ul><li> Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.</li></ul>
<ul><li> Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.</li></ul>
<ul><li> Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.</li></ul>
<ul><li> Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.</li></ul>
<ul><li> Willingness and ability to learn and use new technologies as the need arises.</li></ul>
<ul><li> Ability to work effectively with both users and technical staff in team-oriented environments.</li></ul>
<ul><li> Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.</li></ul>
<ul><li> Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.</li></ul>
<ul><li> A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
</li></ul><ul><li> Hands-on experience with LLMs fine-tuning is a plus.</li></ul>
<ul><li> Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.</li></ul>
<ul><li> The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.</li></ul>
</div>
<div>Required Experience
</div><div><ul><li>1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3</li>
<li>2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology</li>
<li>4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus</li>
<li>Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)</li>
</ul>
Education
<ul>
<li>Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.</li></ul> 


Our Commitment

Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
For more information about Equal Employment Opportunity, please click here.

Hire in salary range is $135,000 - $169,000
<ul><li> For additional information about our benefits, please click here</li></ul>

#L1-KB1

#L1-Hybrid

This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.
</div>
<div>Job Location
</div><div>Washington, District of Columbia, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>135,000.00 - 169,000.00 USD</div></div>

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