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6 plus years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered •Knowledge of big data technologies (e.g., Hadoop, Spark) •Familiar with relational database concepts, and SDLC concepts •Demonstrate critical thinking and the ability to bring order to unstructured problems •Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. You will work at the intersection of LLMs, systems engineering, and applied ML, building intelligent agents that reason, plan, interact with tools, and operate reliably in real-world environments-particularly across regulated domains such as healthcare.

<p>Job Description</p><p>Job Summary</p><p>We are seeking a highly skilled GenAI / Agentic AI Engineer to design, build, and deploy autonomous, LLM-powered systems that solve complex business problems at scale. This role focuses on agentic workflows, retrieval-augmented generation (RAG), tool orchestration, evaluation, and production deployment of GenAI systems.</p><p>You will work at the intersection of LLMs, systems engineering, and applied ML, building intelligent agents that reason, plan, interact with tools, and operate reliably in real-world environments-particularly across regulated domains such as healthcare.</p><p>Job Duties</p><p>Design, build, and deploy agentic AI systems using LLMs, tools, memory, and planning frameworks. Implement multi-agent and single-agent workflows for autonomous task execution, decision support, and orchestration. Develop tool-using agents (function calling, structured outputs, APIs, databases, workflows).</p><p>Retrieval-Augmented Generation (RAG)</p><p>Design and optimize RAG pipelines, including document ingestion, chunking strategies, embeddings, vector stores, and retrieval ranking. Implement advanced retrieval techniques (hybrid search, metadata filtering, re-ranking, query rewriting). Evaluate and tune RAG systems for accuracy, latency, grounding, and hallucination reduction.</p><p>Model Adaptation & Optimization</p><p>Fine-tune and adapt foundation models (instruction tuning, LoRA, adapters) for domain-specific use cases. Optimize prompts, schemas, and system instructions for reliability and determinism. Apply reinforcement or feedback-driven optimization where applicable (human or automated eval loops).</p><p>Evaluation, Monitoring & Governance</p><p>Define evaluation frameworks for GenAI systems, including task success, factuality, grounding, latency, and cost. Build monitoring and observability for agent behavior, tool calls, and failure modes. Partner with governance and risk teams to ensure responsible AI practices, traceability, and compliance.</p><p>Production Deployment & MLOps for GenAI</p><p>Deploy GenAI and agentic systems into production using cloud-native architectures. Implement CI/CD, versioning, rollback, and runtime safeguards for LLM applications. Optimize systems for performance, cost efficiency, and scalability.</p><p>Collaboration & Leadership</p><p>Collaborate closely with software engineers, product managers, data scientists, and business stakeholders. Translate ambiguous business problems into well-structured agentic solutions. Mentor junior engineers and contribute to GenAI best practices and internal standards.</p><p>Job Qualifications</p><p>Technical Skills</p><p>Strong Python proficiency and experience building production-grade services. Deep understanding of LLMs and foundation models (GPT, Claude, Llama, etc.). Hands-on experience with agent frameworks (e.g., LangGraph, Semantic Kernel, DSPy, AutoGen, CrewAI, custom frameworks). Strong knowledge of RAG architectures, vector databases, and embedding models. Experience with structured outputs, function calling, JSON schemas, and tool orchestration. Familiarity with LLM evaluation techniques and failure mode analysis. Experience with APIs, microservices, and distributed systems.</p><p>Problem Solving & Communication</p><p>Strong analytical thinking and ability to structure ambiguous problems. Ability to explain complex GenAI concepts to both technical and non-technical audiences. Proven ability to work cross-functionally in fast-moving environments.</p><p>REQUIRED EDUCATION</p><p>Master's Degree in Computer Science, Data Science, Statistics, or a related field</p><p>REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES</p><p>•6 plus years work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
•Knowledge of big data technologies (e.g., Hadoop, Spark)
•Familiar with relational database concepts, and SDLC concepts
•Demonstrate critical thinking and the ability to bring order to unstructured problems
•Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
•Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
•Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
•RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
•Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
•Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
•Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
•Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges</p><p>.PREFERRED EXPERIENCE</p><p>Hands-on experience building and deploying GenAI / LLM-based systems. Experience working in regulated industries (healthcare, finance, insurance). Hands-on experience with cloud GenAI platforms (Azure AI Studio / Foundry, Databricks, Snowflake Cortex). Experience with observability and governance tools for GenAI systems. Familiarity with NLP, document intelligence, or multimodal AI. PhD or equivalent advanced research experience is a plus. Proven experience designing agentic workflows, not just prompt-based applications.</p><p>To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing. Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.</p>

Molina Healthcare Inc

Senior GenAI Engineer/Data Scientist / Remote

Algorithms

Analysis Skills

Apache Hadoop

Apache Spark

Application Programming Interface (API)

Artificial Intelligence (AI)

Artificial Intelligence (AI) Agents

Best Practices

Big Data

Cloud Architecture

Cloud Computing

Compensation and Benefits

Computer Programming

Computer Science

Cross-Functional

Data Science

Data Visualization

Data Visualization Tools

Database Administration

Database Design

Database Extract Transform and Load (ETL)

Database Technology

Decision Support

Distributed Computing

Editing

Failure Analysis

Finance

Healthcare

Information Retrieval

Insurance

JSON

Kernel Programming

Leadership

Machine Learning

Memory Hardware

Mentoring

Metadata

Microservices

Microsoft Windows Azure

Natural Language Processing (NLP)

Neural Networks

NoSQL

Performance Metrics

Performance Tuning/Optimization

Power BI

Problem Solving Skills

Python Programming/Scripting Language

R Programming Language

Relational Databases (RDBMS)

Risk

SQL Databases

Software Agents

Software Development Lifecycle (SDLC)

Software Engineering

Statistics

Systems Engineering

Systems Reliability

Tableau

Traceability

Use Cases

FULL_TIME

OTHER

As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations. As a Consulting Associate, Environmental Geologist/Scientist/Engineer based in Rochester, New York, you’ll contribute to projects that protect ecosystems, advance remediation technologies, and support communities across the Great Lakes Northeast region and beyond.

<div><div><p><b>Kick‑start your environmental career with hands‑on fieldwork, real impact, and mentorship from industry‑leading experts.</b></p><p>As a <b>Consulting Associate, Environmental Geologist/Scientist/Engineer </b>based in <b>Rochester, New York</b>, you’ll contribute to projects that protect ecosystems, advance remediation technologies, and support communities across the Great Lakes Northeast region and beyond. At <b>ERM</b>, you’ll explore the full spectrum of environmental consulting—learning cutting‑edge investigation methods, collaborating with technical specialists, and building the foundation needed for future professional registration. If you’re energized by purpose-driven work and ready to grow with a global sustainability leader, this role is your next step.</p><p/><h2><b>Why This Role Matters</b></h2><p>Environmental challenges are increasingly complex—and your work helps solve them. From investigating contamination to supporting remediation and compliance, your contributions will directly influence client decisions, regulatory outcomes, and environmental health. You’ll work with a collaborative team that values curiosity, safety, and innovation, all while shaping stronger and more sustainable communities.</p><p/><h2><b>What Your Impact Is</b></h2><ul><li>Supporting environmental site investigations and remediation projects that influence major development, infrastructure, and cleanup efforts.</li><li>Bringing scientific accuracy to field sampling programs, environmental data collection, and reporting.</li><li>Ensuring regulatory compliance through high‑quality documentation and collaborative fieldwork.</li><li>Strengthening ERM’s commitment to sustainability and helping clients reduce environmental risk.</li></ul><h2><b>What You’ll Bring</b></h2><h3><b>Required</b></h3><ul><li>BS in geology, hydrogeology, environmental science, or environmental engineering; Or 8+ years of equivalent experience.</li><li>Recent graduate to 2 years of experience, with interest and willingness to participate in field assignments.</li><li>Ability to work independently and collaboratively within project teams.</li><li>Strong written and verbal communication skills, including experience recording and writing detailed technical data and reports.</li><li>Ability to thrive in a consulting environment—managing multiple tasks, adapting to shifting priorities, and meeting strict deadlines.</li><li>Detail‑oriented, with mechanical aptitude and hands‑on problem‑solving skills.</li><li>Strong commitment to safety and adherence to established Health & Safety protocols.</li><li>Driver's License Required: This position requires a valid driver's license and/or the ability to operate a company vehicle due to the nature of job duties, which include frequent travel to various client locations across a large geographical area.  </li><li>Ability to travel up to 75% regionally, including multiple overnight stays; approximately 25% office-based work.</li><li><b>This position is not eligible for immigration sponsorship.</b></li></ul><h3><b>Preferred</b></h3><ul><li>Environmental fieldwork experience.</li><li>40‑hour OSHA HAZWOPER certification.</li></ul><p/><h2><b>Key Responsibilities</b></h2><ul><li>Conduct fieldwork including:<ul><li>Soil, sediment, groundwater, building, waste, and surface water sampling</li><li>Aquifer testing</li><li>Drilling oversight and soil logging</li><li>Soil boring and monitoring well installation</li><li>Well development, purging, and sampling</li><li>Construction oversight</li></ul></li><li>Coordinate and direct drilling, surveying, and laboratory services.</li><li>Support environmental remediation/demolition projects and O&M of remediation systems.</li><li>Compile and evaluate soil, groundwater, air, sediment, and other environmental data.</li><li>Assist in preparing reports for regulatory agency submittals.</li><li>Review groundwater chemistry data and prepare figures/exhibits for regulatory reporting.</li><li>Perform Phase I and II environmental site assessments to support property transfer transactions.</li><li>Assist with compliance related to federal, state, and local environmental regulations.</li><li>Manage assignments within defined quality, budget, and schedule expectations.</li><li>Communicate with project teams, subcontractors, regulatory agencies, tenants, and clients during field activities.</li></ul></div><p/><div><p>For the <b>Consulting Associate, Environmental Geologist/Scientist/Engineer </b>position, the anticipated annual base pay is <b>$66,081–$81,353 (USD)</b>. Actual pay will depend on factors such as education, experience, skills, location, performance, and business needs. In some cases, pay may fall outside this range. This role may be eligible for bonus pay (casual and fixed term/flex force employees are not bonus eligible). </p></div><div><p>We offer a comprehensive benefits package, including paid time off, parental leave, medical, dental, vision, life, disability, AD&D insurance, 401(k) or RRSP/DPSP, and other applicable benefits to eligible employees. </p></div><div><p><b>Note</b>: Bonuses, commissions, and other forms of additional compensation are not guaranteed and subject to the sole discretion of ERM and its policies and procedures. </p><p/><div><p><b><i>Who We Are:</i> </b><br/>As the largest global pure play sustainability consultancy, we partner with the world’s leading organizations, creating innovative solutions to sustainability challenges and unlocking commercial opportunities that meet the needs of today while preserving opportunity for future generations. </p></div><p/><div><p>At ERM we know that creating a diverse, equitable and inclusive work environment is an essential part of making our company a great place to build a career. We also see our diversity as a strength that helps us create better solutions for our clients. Our diverse team of world-class experts supports clients across the breadth of their organizations to operationalize sustainability, underpinned by our deep technical expertise in addressing their environmental, health, safety, risk and social issues. We call this capability our “boots to boardroom” approach for its comprehensive service model that allows ERM to develop strategic and technical solutions that advance objectives on the ground or at the executive level. </p></div><p/><div><p>Please submit your resume and brief cover letter.  </p></div><p/><div><p>ERM does not accept recruiting agency resumes. Please do not forward resumes to our jobs alias, ERM employees or any other company location. ERM is not responsible for any fees related to unsolicited resumes. </p></div><p/><div><p>ERM is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.  </p></div><p/><div><p>Thank you for your interest in ERM! </p><p>#LI-Hybrid</p></div></div><p/></div><p>Candidates may be invited to complete an online assessment as part of our recruitment process. All personal information will be handled confidentially and in compliance with data protection laws.</p><p><img alt=" " height="1" src="https://ars2.equest.com/?response_id=df5f335a8f6abb5ee8efa49d619119e7&view" width="1"/></p>

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Senior GenAI Engineer/Data Scientist / Remote Molina Healthcare Inc

Consulting Associate, Environmental Geologist/Scientist/Engineer ERM Consulting & Engineering, Inc.

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