Role Description The Emerging and Strategic Solutions ART is looking for a Data Scientist specializing in Generative AI who will be at the forefront of transforming our business segment through the design, development, and deployment of production AI applications. You will architect and ship agentic AI systems that transform how our operational areas work, including applications that can reason over business context, take action through tools and integrations, and automate complex workflows end to end. This role calls for a hands-on builder with deep experience taking LLM applications from prototype to production, supported by strong full-stack engineering, MLOps, and cloud infrastructure skills. This position demands a proactive problem solver who thrives in ambiguity and can adapt swiftly to changing priorities. What You'll Do - Lead the design, development, and deployment of Generative AI applications by immersing yourself in the needs of operational areas. - Build empathy for business challenges and apply engineering best practices to deliver innovative, robust, and reliable AI solutions. - Drive the end-to-end lifecycle of AI/ML projects, from ideation and experimentation through production deployment. - Use prompt engineering, data versioning, systematic experimentation, and A/B testing to optimize performance. - Develop and maintain secure, scalable infrastructure on AWS, focusing on cloud resource management, cost optimization, and compliance. - Prioritize security and fairness throughout the development and deployment process to protect our customers and uphold ethical standards. - Collaborate on systems design and integration, ensuring seamless interoperability between AI systems and both modern and legacy front-end/back-end platforms. - Maintain CI/CD pipelines and automated testing frameworks to support continuous delivery and operational reliability. - Partner with business and technical stakeholders to identify high-impact use cases for generative AI in underwriting, customer service, claims, and risk modeling. - Implement and promote MLOps best practices, enabling reproducibility, scalability, and model governance throughout the development lifecycle. - Lead delivery using agile methodologies, incorporating continuous feedback and fostering a culture of experimentation and iterative improvement. - Own your solutions from prototype through production. - Stay informed about emerging trends in Generative AI, cloud-native technologies, model governance, and responsible AI. - Mentor junior data scientists and engineers, promoting best practices in AI development, documentation, and cross-functional collaboration. Qualifications - Bachelor’s degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience. - At least 5 years deploying and supporting full-stack applications in enterprise environments. - Several years of experience integrating AI, MLOps into full-stack applications. - Experienced in designing and shipping production Generative AI-based applications with agentic architectures. - Strong skills in prompt engineering, orchestration frameworks (e.g., LangChain, LangGraph, or similar), tool/function calling, structured outputs, model selection, and LLM evaluation. - Experienced in full-stack development (backend, frontend, and database technologies) with expertise in technologies such as Vue and TKG. - Strong skills in Python, TypeScript, git, SQL, CI/CD pipelines, automated testing, and DevOps best practices. - Experienced in AWS services, particularly Bedrock, SageMaker, S3, Lambda, and infrastructure as code (CDK). - Extensive experience applying software engineering design patterns and enterprise application architecture principles. - Experienced in data science, machine learning techniques, and data engineering. - Skilled at addressing fairness in AI development and applying experimentation and A/B testing methodologies. - Strong communicator and collaborator, experienced at building partnerships in remote and ever-changing environments. - Resilient and resourceful problem solver, proactive at overcoming obstacles to achieve goals. - Comfortable with ambiguity and change, demonstrating high learning agility. Requirements - Advanced degree in an analytical field (preferred). - Familiarity with single or multi-cloud agentic architecture for building LLM-based applications (preferred). - Proven experience with MLOps and implementing automated pipelines for model and algorithm training, monitoring, versioning, deployment, and scaling in production environments (preferred). Benefits - $130,000 to $150,000, eligible for annual bonus, as applicable. - 401(k) plan with a 2% company contribution and 6% company match. - Work-life balance with vacation, personal time, and paid holidays.

• Transform data into powerful insights capable of driving enlightened decision-making • Work closely with the client to understand their business needs • Frame those needs as statistical problems and solve them with leading-edge methodologies • Collaborate on projects that help clients spin their data into a high-performance asset

• Lead the development of computer vision models • Design and improve machine learning approaches in environments with limited training data • Explore and apply advanced techniques, including vision-language models (VLMs), synthetic data generation, and traditional data labeling workflows • Build and support solutions within an Azure-based development environment • Collaborate with cross-functional team members supporting the broader computer vision and data labeling effort • Serve as a trusted advisor and subject matter expert to clients by taking a hands-on approach in maturing the client's data science capabilities to create value within their business • Develop custom solutions to unique business problems using modern toolsets and platforms, including Python, SQL, Azure, and AWS • Participate in internal initiatives, such as interview support, client brainstorming, and POC development, to foster a culture of growth and collaboration

Environmental Scientist I - Stormwater Job Category: Science Requisition Number: ENVIR006823 - Full-Time - Hybrid - Walnut Creek, CA 94596, USA Job Details Description Job Summary The ideal candidate will have strong technical, written, and verbal skills. We are looking for someone that is highly organized and capable of working with a diverse team of scientists, engineers, and other technical staff on multiple tasks with competing priorities. The successful candidate will have a positive, can-do attitude; will be flexible and self-motivated, creative and well-organized, and quality-oriented with attention to detail. The Environmental Technical role supports basic evaluations, testing, and fieldwork related to toxicology, chemistry, and the physical properties of environmental media. Responsibilities include conducting field sampling, performing calculations, and assisting with technical analyses of solids, liquids, and gases. The duties may include collecting samples, performing watershed assessments, calculations, and report preparation. This role may also participate in delineations of waters of the State and US, and review of lab data from chemistry or bioassay evaluations. This position will be expected to adhere to health and safety and quality protocols of the clients and BC. Responsibilities - Perform basic tasks in an area of specialty. - Conduct delineations of watersheds, estuaries, and other water related areas. - Document field observations and measurements and collect samples. - Assist in water quality evaluations, sediment yield evaluations, and constituent loading calculations. - Perform modeling under supervision. - Understand and follow Work Plans and established procedures. - Flexibility to adapt and execute various additional assignments based on evolving needs. Preferred Requirements - Assisting field activities for stormwater, surface water, and infrastructure monitoring projects - Preparing post-storm technical memoranda describing weather, rain event hyetograph, storm flows, samples collected, monitoring issues, and unusual / unexpected circumstances. - Performing quality control (QC) reviews of laboratory reports and electronic data deliverables (EDDs) - Preparing quality assurance (QA) summary reports on EDD reviews - Developing and updating standard operating procedures (SOPs) for data QC/QA reviews - Developing sampling and analysis plans (SAPs) and quality assurance project plans (QAPPs) - Preparing written technical memoranda on technical studies - Assisting with environmental studies, permitting, and compliance reviews. - Assisting with development of innovative technologies to track circulation patterns within active digesters using radionuclides - Working with continuous monitoring instruments to monitor flow, water levels, water properties (e.g., temperature, conductivity, turbidity) - Programming autosamplers and data loggers for remote operation and data download - Processing large sets of continuous data to identify and correct errors, compiling and integrating data from different continuous monitoring devices, analyzing data for trends, and performing data transformations and computations - Conducting regulatory research - Performing literature searches and archiving search results in bibliographic data - Performing data collection and documentation related to field activities, such as site investigation (soil and groundwater), and site inspections. - Performing project site visits outside the office, including commercial and industrial facilities. - Working independently and with teams to complete assignments with other team members in a hybrid / virtual office setting. - Ability and willingness to travel to support regional and national client teams. - Interacting and communicating directly with clients on behalf of Brown and Caldwell Skills and Competencies - Foundational knowledge in one or more areas relevant to environmental or life sciences, such as aquatic and terrestrial ecology, biology, environmental science, soil science, microbiology, toxicology, chemistry or risk assessment. - Strong quantitative skills. - Ability to accurately record information. - Strong written and communications skills. - Ability to learn and apply new skills and knowledge in relevant applications of environmental science. Experience - Typically requires a minimum of 0-2 years of environmental or life sciences experience or related experience. - Experience in learning and applying new skills. - Encouraged to certify in the SMS framework in the first six months of being in the Preferred Experience - 0-3 years of experience - Proficiency in Excel, Word and basic computer skills required - Strong verbal and written communication skills - Excellent organization and communication skills with extreme attention to detail - Ability to work in a team environment and manage multiple tasks - Candidate should be a self-starter, results orientated and able to work under tight deadlines - Candidate must have current California driver's license and good driving record - Candidate must be willing to travel up to 50% of the time during the “Wet Season” to support stormwater sampling efforts. - Willing to work occasional overtime and/or off-hours as needed - Ability to work for short periods of time in extreme temperatures including heat and cold - Ability to wear required safety equipment at sites including hard hats, steel toed boots (or other approved toe protection), safety glasses, etc. - Ability to stand for several hours observing and documenting activities and conditions - Ability to operate a BC Pickup Truck to commute to jobsites and to access work areas on site - Ability to remain alert and vigilant while working around equipment and be able to walk swiftly for a short distance to clear an area where a potential hazard is identified Education - A degree in chemistry, physics, environmental or life sciences or related field or equivalent experience is required. Preferred Education - MS Degree in Science (Environmental Science, Geology, Chemistry) Salary Range: The anticipated starting pay range for this position is based on the employee’s primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future. Location A: $59,000 - $79,000 Location B: $64,000 - $87,000 Location C: $70,000 - $95,000 Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance.