About the role As an Applied AI Engineer at AlphaFMC, you will play a pivotal role in shaping how leading financial services organizations adopt and scale AI. You will work on high-visibility initiatives inside wealth management firms, banks, and insurance companies, where the stakes are high and the standards for performance, safety, and governance are non-negotiable. Your experience in data science, LLMs, and agentic AI will directly influence how our clients operate and compete. You will have real ownership across the full solution lifecycle, with visibility into both technical delivery and business outcomes, and meaningful input into the AI strategies we bring to market. What you'll do - Own the full lifecycle of AI/ML projects, including problem framing, data acquisition, feature engineering, model and LLM selection and fine-tuning, evaluation, deployment, monitoring, and continuous improvement. - Design, build, and maintain scalable data pipelines for ingestion, preprocessing, and feature engineering, supporting both structured and unstructured enterprise data. - Implement RAG pipelines using vector databases and embedding strategies to ground LLMs in proprietary enterprise data; fine-tune, prompt-engineer, and evaluate LLMs for domain-specific tasks; design and orchestrate agentic workflows including tool-using agents, multi-step planners, guardrails, and alignment mechanisms. - Establish robust evaluation frameworks covering hallucination checks, calibration, bias and fairness, and adversarial testing; build logging, telemetry, safeguards, governance artifacts, and documentation for model risk management. - Lead the end-to-end lifecycle of AI models from experimentation and prototyping to scalable deployment in production environments using MLOps best practices, CI/CD, and cloud platforms (AWS, Azure, GCP). - Optimize inference latency, throughput, and cost; establish monitoring and observability to ensure performance, safety, and reliability in mission-critical environments. - Work closely with AI engineers, software engineers, product managers, and business stakeholders to translate complex business problems into AI-native solutions with measurable impact. Qualifications - A bachelors' degree in a related field and at least 5 years of experience designing and deploying production-grade AI/ML solutions, including at least one production LLM agent or agentic workflow - At least 5 years' experience working in Python and SQL, with hands-on experience in AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch - Proven experience with cloud-native development and data warehousing solutions (Snowflake, Azure Data Lake, AWS S3, or equivalent) - Strong knowledge of LLMs, transformers, NLP, agentic modeling, and reinforcement learning concepts - Experience with open and commercial LLMs, RAG pipelines, and agent frameworks (LangGraph, LangChain Agents, DSPy, or equivalent) - Experience building data ETL/ELT pipelines and deploying models using Docker/Kubernetes, CI/CD, and monitoring/observability tools - Familiarity with model risk management and trustworthy AI practices, especially in regulated industries - Strong analytical, problem-solving, and communication skills; comfortable working across technical teams and business stakeholders How you know if you would be successful in this role - You demonstrate tenured experience across data science, LLMs, and agentic AI. You can move fluidly between model experimentation and production engineering, and you understand the tradeoffs between approaches. - You know how to establish and enforce evaluation frameworks to ensure production-ready deployment of AI/ML solutions, with particular sensitivity to the governance requirements of financial services and/or Insurance industries. - You work effectively with onshore and offshore engineers, product managers, and business stakeholders. - You can explain a RAG pipeline to a senior engineer and a hallucination risk to a compliance officer, adjusting your communication without dumbing things down. - You can employ modern AI/ML and GenAI design patterns to solve complex business problems and integrate advanced AI into application architectures with measurable impact. - You thrive in a fast-paced environment, stay current with a rapidly evolving AI landscape, and know when to adopt new tools and when to resist the hype. Other Info - Benefits Offered: Medical, Dental, and & Vision Insurance. Life, Short Term Disability, and Long Term Disability Insurance. 25 days of accrued PTO, paid holidays. Profit Sharing-based annual target bonus. Company sponsored 401(k) plan with match. Monthly wellness and tech stipend. - This role is not eligible for sponsorship at this time. - This position may require up to 15% travel (to client sites). - The position requires the employee to be able to work 8:30am - 5:30pm EST Monday through Friday. - The successful candidate will be subject to thorough background checks, including physical location verifications. - No agencies, please.

Job Description: Title: AI Engineer Location: USA - Remote Reports to: Managing Director - AI Solutions Engineering Vacancy: This is a new position The Role: You will design, build, and operate production-grade Generative AI solutions that power our products and analytical solutions. You will work across data, models, and applications to deliver reliable AI workflows, integrating large language models with modern data and analytics environments. You will own initiatives end-to-end, including architecture, experimentation, deployment, monitoring, and continuous improvement. The Impact You Will Have in This Role: You will shape how we apply Generative AI to high-value business problems by building systems that measurably improve customer experience, operational efficiency, and decision quality. You will raise the quality bar for production AI by setting standards for design, safety, evaluation, and operational readiness. You will mentor other engineers and partner with product, data science, and business stakeholders to translate ambiguity into scalable AI capabilities across multiple products and use cases.   What You’ll Be Doing in This Role: - Lead the design and implementation of Generative AI services and Agentic workflows that support multiple product features or teams. - Integrate LLMs into applications using modern frameworks, working with APIs or internal model endpoints. Implement telemetry, observability, fallbacks, and cost/latency controls. - Work across data environments to ingest, transform, and serve data for AI use cases, designing practical schemas and retrieval strategies that generalize across environments. - Design and run experiments to compare prompts, models, and configurations; build evaluation flows to measure relevance, safety, robustness, and business impact. - Collaborate with product, data science, design, and domain experts to clarify requirements, break down initiatives into technical plans, and deliver roadmap commitments. - Contribute to and lead code reviews, architecture discussions, documentation, and shared templates/libraries that improve velocity and consistency. - Monitor AI systems in production, participate in incident response, and drive systemic improvements to quality, safety, reliability, and performance. - Partner with security, legal, and compliance to ensure data privacy, responsible AI practices, and regulatory alignment. Qualifications of This Role: - Degree in Computer Science, Data Science, Software Engineering or related field. - At least 8yrs of professional experience with a Bachelor’s degree or 6 yrs with a Graduate degree - 1-year experience in Generative AI technologies (included in the overall professional experience), or 1-2 relevant certifications. - Logical, practical, and innovative problem-solving skills. Can turn ambiguity into architecture, milestones, and explicit tradeoffs. - Strong customer-facing communication: able to lead technical discussions, write clear technical documents, and explain solutions to technical and non-technical audiences. - Shipped and operated LLM-enabled features in production, including evaluation, monitoring, and iteration. - Working knowledge of Generative AI quality and safety practices. - Experience building data-intensive systems end-to-end. - Data engineering fundamentals: ingestion/transforms, maintainable schemas, and retrieval/feature pipelines for analytics and AI. - Strong Python and SQL. Experience integrating services via APIs. TypeScript or other strongly typed language experience is a plus. The ability to learn new tools quickly is required. - Hands-on experience with at least one modern data/analytics platform (e.g., Databricks, Snowflake, Palantir Foundry) and the ability to quickly adapt patterns across other environments. - Ownership mindset with high standards for production readiness and customer outcomes. - Automotive domain knowledge is a plus, not required. - Able to travel as needed for customer and internal collaboration. The Hiring Manager Says:  An ideal candidate might find joy in problem solving and discovering novel ways to achieve an outcome. You will be designing and implementing thoughtful and robust technical solutions, with some autonomy to be creative in the approach. Don’t expect a step-by-step how-to guide but do expect to collaborate with other competent and experienced people to find solutions. This position has a starting salary range of $120,000 to $145,000 USD per year. This is the range we reasonably and in good faith expect to pay for the role at the time of posting. An employee’s pay within the range is determined by a number of factors, including relevant skills, education, qualifications, experience, performance, business or organizational needs, and geographic location. Company Mission J.D. Power is clear about what we do to ensure our success into the future. We unite industry leading data and insights with world-class technology to solve our clients’ toughest challenges. Our Values We POWER Our Customer's Success We are Innovative, Collaborative and Grounded in Data We Make Things Easy We Get It Done We Start with Trust & Prove it Everyday J.D. Power is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability. Should you require accommodations during the recruitment and selection process, please reach out to tarecruitment@jdpa.com. J.D. Power does not disclose your personal data to unauthorized third parties. However, as a global corporation consisting of multiple affiliated companies in various countries, J.D. Power has international sites and J.D. Power uses resources located throughout the world. J.D. Power may from time to time also use third parties to act on J.D. Power’s behalf. You agree to the fact that to the extent necessary your personal data may be transferred and/or disclosed to any company within J.D. Power group of companies as well as to third parties acting on J.D. Power’s behalf, including also transfers to servers and databases outside the country where you provided J.D. Power with your personal data. Such transfers may include for example transfers and/or disclosures outside the European Economic Area and in the United States of America. If you are a California or United Kingdom resident, additional disclosures about the information we collect and how we use that information can be found by clicking here. To all recruitment agencies: J.D. Power does not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge large language model (LLM) and AI platform technologies to build scalable, secure, and production-ready AI systems. As we continue to grow, we’re looking for a skilled LLM Platform Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: LLM Platform Engineer Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Large Language Models (LLMs), Python, Prompt Engineering, Model Fine-Tuning, Hugging Face, OpenAI / Azure OpenAI APIs, Vector Databases, Embeddings, RESTful APIs, Model Deployment & Scaling, Docker, Kubernetes, Cloud Platforms (AWS / Azure / GCP), CI/CD pipelines, Linux, Git, Agile methodologies BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years real time experience. If you are an LLM Platform Engineer with the above skills and are looking for an H-1 B sponsorship this year, please send your resume immediately to harry@bvteck.com. we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

• Help build and operate NRC Health’s production AI platform • Transition AI capabilities from an external vendor to full internal ownership • Partner with product engineering teams to enable safe, scalable, and governed AI-powered features across NRC Health’s portfolio • Take ownership of the existing AI platform and expand it through building and maintaining core AI platform components across the model lifecycle • Implement automated evaluation frameworks and regression safeguards • Support observability, performance monitoring, and system reliability • Design and operate scalable AI/MLOps infrastructure • Enable and transfer AI capabilities and feature development across product engineering teams • Ensure implementations follow platform standards for reliability, cost efficiency, and governance