Overview
Remote
USD 200,000.00 - 250,000.00 per year
Full Time
Skills
Pivotal
Legal
Prototyping
SAP BASIS
Algorithms
Collaboration
Product Demonstration
Scalability
Research
Innovation
Thought Leadership
Management
Performance Monitoring
Documentation
Data Flow
Leadership
Educate
Relationship Building
Analytical Skill
Forecasting
Optimization
Computer Vision
Text Mining
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
POC
Sales
Software Development Methodology
Software Engineering
Communication
Generative Artificial Intelligence (AI)
Natural Language Processing
Evaluation
Prompt Engineering
Data Engineering
Analytics
Data Science
Extract
Transform
Load
Training
Vector Databases
DevOps
Machine Learning Operations (ML Ops)
Docker
Kubernetes
Artificial Intelligence
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Jenkins
Amazon SageMaker
Job Details
Description:
**100% Remote**
Our client, an industry leader in case management, has an excellent opportunity for a Principal AI Architect to work on a full-time direct hire opportunity. Work will be fully remote, local to SoCal preferred. The Principal AI Architect will play a pivotal role in driving innovation and ensuring solutions remain at the top of the legal industry. The ideal candidate will have a high level of passion, creativity, and strong hands-on experience with GenAI and machine learning technologies.
The candidate must be able to apply AI and data science to drive innovations by prototyping, refining, and validating their AI and analytics products and delivery models. In addition, the candidate must have deep experience leveraging data insights that are buried in data and the ability to provide our businesses with a clear way to transform how data is sourced, interpreted, and consumed for internal use or for products.
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.
Salary Range: $200K-$250K
Responsibilities:
Design and Develop AI Solutions: Lead the design and development of AI models and algorithms to solve complex business problems. Lead the solution options response to AI/ML and GenAI/Agentic AI-related inquiries from business stakeholders. Present the technical solution to internal and external customers as required.
Collaborate with Stakeholders: Work closely with business leaders, data engineers, and product leaders to understand requirements and translate them into AI solutions. Engage with existing and prospective clients to present AI/ML based technical solutions and platform/product demonstrations
Architecture Design: Develop and maintain the architecture for AI systems, ensuring scalability, reliability, and performance. Design GenAI/Agentic AI-based solution to augment existing AI/ML applications and build new capabilities to address customer problems.
Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions. Provide thought leadership to senior management and CxO teams
Model Deployment: Oversee the deployment of AI models into production environments, ensuring seamless integration with existing systems.
Performance Monitoring: Implement monitoring and evaluation processes to ensure AI models perform as expected and make necessary adjustments.
Documentation: Create comprehensive documentation for AI systems, including architecture diagrams, data flow, and model specifications.
Leadership and Training: Train current team members, evaluate existing processes, and identify opportunities for skill enhancement. Work with partners and educate the internal team.
Experience Requirements:
Must have a proven track record of leveraging rapidly evolving gen AI technologies to create innovative products that enabled meaningful business value via revenue generation or cost optimizations.
Must have excellent communication skills and ability to partner with business leaders to understand client requirements and develop customized AIML & GenAI/Agentic AI solutions that address their business objectives.
Strong relationship-building skills and ability to provide technical advice and guidance
Creating architectures/designs for advanced analytical applications such as Forecasting, Prediction, Segmentation, Optimization, Computer Vision, Speech, and Text Analytics, leveraging appropriate AIML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/Google Cloud Platform)
Acted as the primary technical PoC for business leaders and internal engineering staff to implement "Responsible AI" practices across the organization
Provided technical advisory & guidance to customers, sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Has track record of implementing gen AI to accelerate SDLC. Provide innovative tools, processes and AI-based solutions that greatly accelerate the software engineering's team's time to market.
Strong expertise in handling large and complex internal RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
Qualifications of the Principal AI Architect:
Excellent verbal and written communication skills with the ability to present complex AI/ML concepts to technical and executive audiences (leveraging PPTs, Demos and Whiteboard)
At least 4+ years of deep experience in GenAI, ML, NLP, LLM, transformers, fine tuning, transfer learning, diffusion models, RNNs., evaluation techniques (BLUE, FID, perplexity), prompt engineering (tuning, zero-shot, few-shot..) , RAG, and Graph RAG solutions.
At least 4+ years of deep experience in data engineering, analytics and data science. Including data pipelines (ETL/LT, fine tuning, training), data labeling/curation, vector databases, and embeddings.
At least 4+ years experience with DevOps and MLOps. Includes model deployment using Docker/Kubernetes, Serving with cutom APIs or equivalent (ONNX, Triton, Hugging Face Interface endpoints), model monitoring/observability (MLFlow, Evidently, Arize AI...), and CI/CD Pipelines for ML (Jenkins, SageMaker Pipelines...)
Deep expertise in designing AIML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and Google Cloud Platform). AWS strongly preferred
Minimum 3-years hands-on experience in building GenAI/Agentic AI applications leveraging Large Language models
Education Requirements:
Master's degree in computer science, engineering, data or a related field. PhD level education strongly preferred.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
**100% Remote**
Our client, an industry leader in case management, has an excellent opportunity for a Principal AI Architect to work on a full-time direct hire opportunity. Work will be fully remote, local to SoCal preferred. The Principal AI Architect will play a pivotal role in driving innovation and ensuring solutions remain at the top of the legal industry. The ideal candidate will have a high level of passion, creativity, and strong hands-on experience with GenAI and machine learning technologies.
The candidate must be able to apply AI and data science to drive innovations by prototyping, refining, and validating their AI and analytics products and delivery models. In addition, the candidate must have deep experience leveraging data insights that are buried in data and the ability to provide our businesses with a clear way to transform how data is sourced, interpreted, and consumed for internal use or for products.
This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.
Salary Range: $200K-$250K
Responsibilities:
Design and Develop AI Solutions: Lead the design and development of AI models and algorithms to solve complex business problems. Lead the solution options response to AI/ML and GenAI/Agentic AI-related inquiries from business stakeholders. Present the technical solution to internal and external customers as required.
Collaborate with Stakeholders: Work closely with business leaders, data engineers, and product leaders to understand requirements and translate them into AI solutions. Engage with existing and prospective clients to present AI/ML based technical solutions and platform/product demonstrations
Architecture Design: Develop and maintain the architecture for AI systems, ensuring scalability, reliability, and performance. Design GenAI/Agentic AI-based solution to augment existing AI/ML applications and build new capabilities to address customer problems.
Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning technologies and apply them to improve existing solutions. Provide thought leadership to senior management and CxO teams
Model Deployment: Oversee the deployment of AI models into production environments, ensuring seamless integration with existing systems.
Performance Monitoring: Implement monitoring and evaluation processes to ensure AI models perform as expected and make necessary adjustments.
Documentation: Create comprehensive documentation for AI systems, including architecture diagrams, data flow, and model specifications.
Leadership and Training: Train current team members, evaluate existing processes, and identify opportunities for skill enhancement. Work with partners and educate the internal team.
Experience Requirements:
Must have a proven track record of leveraging rapidly evolving gen AI technologies to create innovative products that enabled meaningful business value via revenue generation or cost optimizations.
Must have excellent communication skills and ability to partner with business leaders to understand client requirements and develop customized AIML & GenAI/Agentic AI solutions that address their business objectives.
Strong relationship-building skills and ability to provide technical advice and guidance
Creating architectures/designs for advanced analytical applications such as Forecasting, Prediction, Segmentation, Optimization, Computer Vision, Speech, and Text Analytics, leveraging appropriate AIML and GenAI/Agentic AI tools & technologies across major cloud platform (Azure/AWS/Google Cloud Platform)
Acted as the primary technical PoC for business leaders and internal engineering staff to implement "Responsible AI" practices across the organization
Provided technical advisory & guidance to customers, sales, and delivery teams on AI/ML and GenAI/Agentic AI platforms and solutions
Has track record of implementing gen AI to accelerate SDLC. Provide innovative tools, processes and AI-based solutions that greatly accelerate the software engineering's team's time to market.
Strong expertise in handling large and complex internal RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment
Qualifications of the Principal AI Architect:
Excellent verbal and written communication skills with the ability to present complex AI/ML concepts to technical and executive audiences (leveraging PPTs, Demos and Whiteboard)
At least 4+ years of deep experience in GenAI, ML, NLP, LLM, transformers, fine tuning, transfer learning, diffusion models, RNNs., evaluation techniques (BLUE, FID, perplexity), prompt engineering (tuning, zero-shot, few-shot..) , RAG, and Graph RAG solutions.
At least 4+ years of deep experience in data engineering, analytics and data science. Including data pipelines (ETL/LT, fine tuning, training), data labeling/curation, vector databases, and embeddings.
At least 4+ years experience with DevOps and MLOps. Includes model deployment using Docker/Kubernetes, Serving with cutom APIs or equivalent (ONNX, Triton, Hugging Face Interface endpoints), model monitoring/observability (MLFlow, Evidently, Arize AI...), and CI/CD Pipelines for ML (Jenkins, SageMaker Pipelines...)
Deep expertise in designing AIML and GenAI/Agentic AI solutions on at least 1 major cloud platform (Azure, AWS and Google Cloud Platform). AWS strongly preferred
Minimum 3-years hands-on experience in building GenAI/Agentic AI applications leveraging Large Language models
Education Requirements:
Master's degree in computer science, engineering, data or a related field. PhD level education strongly preferred.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact
About Eliassen Group:
Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.
Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.