Profound Ai Tool Jobs in Usa

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

The Opportunity

As an Audit Lead, you'll support audit engagements of varying complexity, often participating in cross-functional, risk-based assurance and advisory projects, contributing to the quality of audit work. A key aspect of this role involves testing models and model-related tools as part of audit engagements. You will support Auditor-In-Charge (AIC) responsibilities and maintain knowledge of financial services regulations, effectively responding to and interacting with regulators.

This role provides support and oversight to multiple audit engagements and participates in the review of engagement planning, fieldwork, and reporting. You will also manage strategic initiatives and assist with the development and implementation of a risk-based audit plan. You will serve as, and/or partner with, subject matter expert(s) within audit or the business to analyze issues, establish collaborative client relationships, and proactively work with client management to assess risk and improve internal controls. You will also adhere to the Institute of Internal Auditors' International Standards for the Professional Practice of Internal Auditing (Standards) and Code of Ethics.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, or Charlotte, NC.

Relocation assistance is available for this position.

What you'll do:

• Contribute to continuous monitoring, advisory activities, special reviews, and investigations.
• Ensure assigned audit engagements are completed objectively, professionally, and timely, adhering to audit standards.
• Identify control weaknesses and recommend improvements, drafting audit issues and reports for client leadership and conducting follow-up.
• Support quality of audit reviews and propose updates to the universe risk assessment based on audit results.
• Build client relationships to drive strategic objectives.
• Communicate effectively with business/clients, delivering risk-based and difficult messages, and potentially with regulators and executive leaders.
• Provide coaching and guidance to other auditors, ensuring timely and quality deliverables, and may provide engagement evaluations.
• Provide input into the internal audit universe and risk profiles, updating risk assessment information.
• Participate in the development and execution of the annual audit plan, assessing and covering risks.

What you have:

• Bachelor's degree in Business or relevant field such as Finance, Accounting, Business, or Information Technology. Four additional years of related experience beyond minimum required may be substituted in lieu of a degree.
• 8 years of audit, financial, insurance, banking, information technology or related business and/or leadership experience.
• Experience performing internal audits, external audits, or applying audit, risk, or compliance acumen in a complex operational and regulatory environment.
• Broad and comprehensive experience in Audit theory, internal audit principles with demonstrated experience in audit examining, analyzing, assessing, and drawing conclusions from audit work.
• Demonstrated experience effectively communicating and challenging Controls with business partners and influencing business outcomes.
• Understanding of risks and internal controls and the ability to evaluate and determine adequacy and efficiency of controls.
• Experience in a support role, mentoring, and providing feedback to audit team members throughout the audit.
• Experience in overseeing work with both internal and external partners in a highly collaborative environment
• Demonstrated critical thinking and knowledge of data analysis tools and techniques and decision-making abilities.
• Demonstrated experience in highly dynamic environment undergoing change; ability to deal with competing priorities.

What sets you apart:

• AI/ML Knowledge: Comprehensive understanding of AI/ML concepts, lifecycle stages, data sourcing, model types, tools, applications, and model risk management principles.
• AI Risk Management Expertise: Proficient in identifying, assessing, and mitigating risks associated with AI systems (e.g., safety, data integrity, privacy, security, biases).
• Model Risk & Control: Deep knowledge of model risk frameworks and control testing methodologies.
• Regulatory & Governance Expertise: Familiarity with AI-related regulatory guidance (e.g., SR 11-7, OCC 2011-12) and emerging governance principles (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act).
• AI Explainability & Transparency: Ability to evaluate interpretability techniques for regulatory and business transparency.
• Emerging Technology Awareness: Awareness of generative AI, LLMs, and automated decisioning frameworks to assess evolving risks and adapt audit techniques.

Compensation range: The salary range for this position is: $143,320 - $273,930

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on .

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

GENERAL SUMMARY:

The Manager of AI Enablement (Senior) leads the development and execution of Element Care’s internal approach to artificial intelligence. This role defines AI standards, policies, and best practices while enabling staff across the organization to adopt AI safely, ethically, and effectively. Reporting to the IT department, this position acts as a trusted advisor to leaders and end users, shaping AI governance, vendor strategy, training, and enterprise enablement.

ESSENTIAL RESPONSIBILITIES:

•    Define and maintain organizational AI standards, policies, and governance frameworks.

•    Lead the deployment of off-the-shelf AI solutions, including ambient documentation, predictive analytics, administrative automation, and clinical decision support tools.

•    Enable responsible use of generative AI across administrative and operational functions.

•    Conduct continuous workflow analysis to identify automation and AI-enablement opportunities.

•    Evaluate AI and AI/ML models, tools, and vendor solutions for suitability, risk, and value.

•    Partner with IT, data, analytics, and platform teams to align AI initiatives with enterprise architecture.

•    Provide oversight and guidance on AI-enabled workflows, automation, and agent capabilities.

•    Measure, monitor, and report on AI initiative outcomes, value realization, and performance.

•    Build business cases and recommendations for future AI investments.

•    Serve as the primary advisor to leaders and teams on AI use cases, risks, and governance.

•    Monitor regulatory, ethical, and industry developments related to AI.

•    Help establish and mature a scalable AI enablement and governance operating model.

•    Influence adoption and consistency without direct authority.

•    Perform other duties as assigned.

JOB SPECIFICATION:

•    6–10+ years of relevant professional experience, including applied AI, automation, analytics, or emerging technology leadership.

•    Demonstrated experience evaluating AI/ML models, vendor solutions, or AI platforms.

•    Experience with vendor management, solution selection, or hands-on implementation required.

•    Demonstrated experience defining standards, policies, or enterprise enablement programs.

•    Healthcare or other regulated industry experience strongly preferred.

•    Strong understanding of applied AI, AI/ML evaluation, governance, risk, and ethical considerations.

•    Ability to translate complex concepts into practical organizational guidance.

•    Experience developing business cases and value narratives for technology investments.

•    Executive-level communication and facilitation skills.

•    Proven ability to operate independently and influence across the enterprise.

•    Strategic mindset with a pragmatic, implementation-oriented approach.

Compensation details: 13 Yearly Salary

PI71b2d5685c13-3631

Looking for a 10+ years of experience in full stack software development, including front-end, back-end, and database technologies in Bothell, WA and its an onsite role.

• Bachelor’s degree in computer science, software engineering, or a related field preferred
• Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js
• Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents.
• Strong experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef
• Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools.
• Strong experience working with AI/ML development
• Strong experience working with Databases like Cassandra, MongoDB or similar.
• Strong understanding and working experience of microservices architecture, RESTful APIs, Caching and related technologies
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes
• Proficiency in version control systems like Git, and experience with CI/CD tools such as Jenkins, GitHub, Maven, Nexus, JFrog or Sonar
• Strong experience in Unit and Function testing using Junit, Mockito/JMock, Selenium, Robot, Cucumber, SoapUI or Postman
• Strong problem-solving, analytical, and debugging skills.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.
• Demonstrated experience in mentoring and providing technical leadership to other engineers.

• Nice to have skills:
• Google CCAI platform (DialogFlow), Vertex AI, Graph QL, BigQuery, Conversation Graph, LLM as Judge

**Candidate must be willing to go into office 3 days a week**

Senior Full-Stack AI & Data Engineer – Contract

RBA is an established leader and trusted partner for enterprise and mid-size organizations seeking to transform their business through technology solutions. As a Digital and Technology consultancy, we combine strategic insight with technical expertise to deliver impactful, scalable solutions that align with business goals. We take pride in working with some of the most recognized companies in our market—while fostering a culture that blends challenging career opportunities with a collaborative, fun work environment.

We are seeking a Senior Full-Stack AI & Data Engineer to join our growing Data & AI practice, supporting a high-impact client. In this role, you will lead the design and development of end-to-end AI-powered applications that drive personalization, predictive analytics, and next-generation digital experiences.

You’ll partner with business stakeholders, product teams, and engineers to build production-grade AI solutions—from data pipelines and model development to APIs and user-facing applications. The ideal candidate brings deep expertise across the full stack, modern data platforms, and generative AI technologies, with a passion for solving complex business challenges through innovative solutions.

Responsibilities

• Design and develop end-to-end AI-powered applications, including backend APIs and user-facing interfaces, to enable scalable and intuitive AI solutions.
• Build and maintain robust APIs using technologies such as Node.js, NestJS, or FastAPI, and develop modern web applications using React or similar frameworks.
• Develop, fine-tune, and deploy machine learning models using frameworks such as PyTorch and Scikit-learn.
• Implement advanced generative AI solutions, including Retrieval-Augmented Generation (RAG) pipelines and multi-modal AI applications.
• Design and build agentic AI systems using frameworks such as LangChain, enabling multi-step reasoning, tool use, and automation.
• Architect and optimize end-to-end data pipelines (ETL/ELT) using Python, SQL, and orchestration tools such as Airflow.
• Manage and integrate data workflows within Snowflake, leveraging technologies such as Snowpark or Cortex.
• Implement monitoring and observability for AI systems, including tracking model performance, drift, latency, and reliability.
• Design and deploy cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines across AWS, Azure, or GCP.
• Collaborate with business stakeholders to translate data into actionable insights and intelligent applications.
• Contribute to DevOps best practices, including infrastructure-as-code (Terraform) and automated testing.
• Mentor junior engineers and promote best practices in AI ethics, data governance, and code quality.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience across full-stack development, including backend (Node.js/Python) and frontend frameworks (React or similar).
• Strong experience designing and building data pipelines and modern data platforms, including expertise in SQL and data modeling.
• Proven experience deploying AI/ML solutions in production environments, including MLOps and model lifecycle management.
• Hands-on experience with generative AI technologies, including LLMs, prompt engineering, and RAG architectures.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of DevOps practices, including CI/CD, containerization, and infrastructure-as-code (Terraform).
• Excellent communication skills and ability to work effectively in client-facing environments.

Preferred Qualifications

• Experience with Snowflake, including Snowpark, Cortex, or similar data platform capabilities.
• Experience building agent-based AI systems or working with frameworks such as LangChain.
• Familiarity with vector databases and semantic search architectures.
• Experience developing mobile applications using React Native or Flutter.
• Knowledge of mobile architecture, UI/UX principles, and API integration patterns.
• Experience deploying applications to Apple App Store or Google Play Store.
• Familiarity with security and authentication protocols, including OAuth2, biometric authentication, and secure data handling.
• Cloud or data platform certifications (AWS, Azure, GCP, Snowflake, or similar).

Leadership & Culture

• Demonstrate leadership through mentorship, technical guidance, and promoting engineering best practices.
• Balance innovation with pragmatism—able to work across cutting-edge AI solutions and foundational data engineering tasks.
• Thrive in a collaborative, fast-paced consulting environment with a strong focus on client impact and delivery excellence.

CNC / Mold / AI Manufacturing Engineer (Training Provided)

Location: Louisville, Kentucky, USA

Industry: Advanced Manufacturing / Precision Tooling

【About the Company】

FTC USA is building a next-generation precision manufacturing center in the United States.

Our mission is to combine advanced tooling expertise with AI technologies to create the next generation of intelligent manufacturing systems.

We offer a unique opportunity for engineers to grow from CNC machining to mold design and eventually AI-driven manufacturing engineering.

【International Training Program】

We believe in investing in people. Even if you do not have prior CNC experience, we provide a structured training program that includes:

• On-the-job technical training
• Hands-on machining training
• International training opportunities

Selected engineers will have the opportunity to receive advanced training at our R&D centers in Taiwan and/or Japan, where they will learn from highly experienced tooling and manufacturing engineers.

This program allows engineers to develop world-class precision manufacturing skills.

【Career Development Path】

If you are willing to accept training arrangements in Taiwan and/or Japan, the future career development and salary growth path is as follows:

Level: Level 1

Position: CNC Engineer

Salary Range: $80,000 – $120,000

Level: Level 2

Position: Mold Design Engineer

Salary Range: $120,000 – $160,000

Level: Level 3

Position: AI Mold Engineer

Salary Range: $160,000 – $220,000+

You will receive continuous training and mentorship to progress through these levels.

【Key Responsibilities】

CNC Engineering

• Learn and operate 3-axis and 5-axis CNC machining centers
• Develop CAM programs using software such as Mastercam, NX, or Powermill
• Manufacture high-precision mold components
• Work with EDM and wire-EDM machining processes
• Perform precision measurements and quality control with CMM
• Implement CNC automation and digital manufacturing platform

Mold Design & Manufacturing Integration

• Participate in precision mold design
• Support mold structure design, cooling systems, and gating systems
• Work with machining teams to optimize manufacturability
• Apply Design for Manufacturing (DFM) principles
• Support mold assembly and troubleshooting

AI-Driven Manufacturing Development (Advanced Level)

• Apply AI technologies to improve mold design and manufacturing
• Develop intelligent machining optimization strategies
• Support predictive maintenance systems
• Participate in smart manufacturing and digital twin initiatives

【Qualifications】

We welcome candidates with strong interest in manufacturing engineering.

Required:

• Bachelor’s degree in Mechanical Engineering, Manufacturing Engineering, or related field
• Strong interest in advanced manufacturing technologies
• Strong problem-solving ability
• Willingness to learn CNC machining and mold manufacturing
• Ability to work in a hands-on engineering environment.
• Can join the training program in Taiwan and/or Japan for first few months.

Preferred (but not required)

• Experience with CNC machining or CAM software
• Experience with CAD software
• Experience in mechanical design
• Knowledge of automation or manufacturing systems

No prior CNC machining experience is required. Training will be provided.

【What We Offer】

• Competitive salary and career growth opportunities
• Structured engineering career development
• Hands-on training with advanced manufacturing equipment
• Paid international training opportunities in Taiwan and Japan
• Mentorship from experienced manufacturing engineers
• Opportunity to work in next-generation smart manufacturing

【Why Join Us】

This is a rare opportunity to develop expertise in precision manufacturing, mold engineering, and AI-driven production systems.

You will gain exposure to global manufacturing technologies and international engineering teams, while building a long-term career in advanced manufacturing.

【Apply Now】

If you are passionate about engineering and excited about the future of manufacturing, we encourage you to apply.

At Rite-Hite, your work makes an impact. As the global leader in loading dock and door equipment, we design and deliver solutions that keep our customers safe, secure, and productive. Here, you'll find innovation, stability, and the chance to grow your career as part of a team that's always looking ahead.

ESSENTIAL DUTIES AND RESPONSIBILITIES

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

• Design and build AI-powered applications using Large Language Models (LLMs) for enterprise use cases.
• Develop Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data such as documents, manuals, tickets, ERP data, and knowledge bases.
• Build and orchestrate AI agents that can reason, plan, and interact with tools, APIs, and workflows.
• Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
• Work with multimodal AI models including text, image, and video use cases such as video analysis, summarization, and optimization.
• Integrate AI solutions with existing enterprise systems such as Salesforce, ERP platforms, data lakes, APIs, and internal applications.
• Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
• Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
• Mentor and upskill existing developers on AI concepts, patterns, and best practices.

Required Skills & Experience

• 5+ year of full stack development experience.
• Strong software engineering background with experience building production-grade applications.
• Hands-on experience with modern LLM platforms such as OpenAI, Azure OpenAI, Anthropic, or similar.
• Practical experience building RAG pipelines using vector databases and embedding models.
• Experience with prompt engineering, prompt versioning, and evaluation techniques.
• Solid Python experience for AI development.
• Experience integrating AI services with REST APIs, microservices, and cloud-native architectures.
• Familiarity with cloud platforms such as AWS or Azure, including deployment, scaling, and security concepts.
• Understanding of data formats such as JSON, XML, and document-based data.
• Ability to translate business problems into AI-driven technical solutions.

Preferred Qualifications

• Experience with vector databases such as Pinecone, FAISS, Weaviate, or similar.
• Familiarity with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent orchestration tools.
• Experience implementing AI safety controls, policy enforcement, and evaluation frameworks.
• Exposure to video or image models and multimodal AI use cases.
• Experience working in enterprise environments with security, compliance, and change management considerations.
• Prior experience mentoring or leading developers in new technical domains.

What We Offer

At Rite-Hite, we take care of our people - because when you're supported, you can do your best work. Our benefits are designed to support your health, your future and your life outside of work:

• Health & Well-being: Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust well-being program with an opportunity to receive an extra day off and more.

• Financial Security: A strong retirement savings program with 401(k), company match, and profit sharing.

• Time for You: Paid holidays, vacation time, and personal/sick days each year.

Join us and build a career where you're supported - at work and beyond.

Rite-Hite is proud to be an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under federal, state, or local law.In accordance with VEVRAA, we are committed to providing equal employment opportunities for protected veterans.We are also committed to maintaining a drug-free workplace for the safety of our employees and customers.

Local candidates only. You must be a W2 employee and we can not work with third party clients.

Software Engineer – Generative AI Applications |

Company’s Early Clinical Development (ECD) team is looking for a Software Engineer to design and build next‑generation applications that integrate generative AI into clinical development workflows. You’ll work with AI scientists, full‑stack engineers, and cross‑functional partners to deliver innovative, user‑centric tools that support Clinical Science, Operations, Medical Writing, Regulatory, and Quality teams.

What You’ll Do

• Develop and deploy software that integrates LLMs and AI‑driven capabilities
• Build intuitive front‑end interfaces and scalable backend services
• Design and maintain RESTful APIs and deployment pipelines
• Write clean, well‑documented, testable code; participate in code reviews
• Stay current on AI/ML advancements and evaluate new technologies
• Collaborate with data scientists, engineers, and product teams to embed AI into clinical development tools
• Monitor production systems and optimize performance

Who You Are

• Full‑stack engineer with strong experience building AI‑enabled applications
• Deep understanding of modern AI/LLM capabilities, limitations, and best practices
• Strong communicator who can work across scientific and technical teams

Minimum Requirements

• Bachelor’s or Master’s in CS, Engineering, Math, or related field
• 5+ years full‑stack development experience
• Expertise with Vue.js or React, plus backend frameworks (FastAPI, Django, Flask, Next.js)
• 2+ years building or deploying AI/ML applications
• Experience with REST APIs, prompt engineering, and containerized workflows (Docker, Kubernetes)
• Strong automated testing skills (unittest, jest, Playwright)
• Familiarity with Agile development
• Experience with AWS, Snowflake, and scalable system design
• Experience integrating LLMs, RAG systems, or chatbots

Preferred

• Experience with LLM fine‑tuning, AI agents, HuggingFace, LangChain, TensorFlow, or PyTorch
• Experience with Office.js add‑ins, WebSockets, JWT, or CRDTs (Yjs)
• Background using NLP/LLMs on clinical text or knowledge of clinical development

Sr. Quality Automation and AI CSV Engineer

The Senior Automation and AI CSV Engineer will lead the design, implementation, and validation of automated systems and AI-driven solutions within a sterile injectable pharmaceutical manufacturing environment. This role ensures compliance with regulatory requirements (FDA, EMA, ICH) and company standards for computerized systems, automation platforms, and AI-enabled technologies used in production, quality control, and data analytics.

Essential Duties & Responsibilities

• Automation & AI Validation:
• Develop and execute validation strategies for automated systems, robotics, and AI-based tools in compliance with GAMP 5, 21 CFR Part 11, FDA’s CSA for Production and Quality System Software, Annex 11, Annex 22, and PIC/S.
• Perform risk assessments and ensure data integrity for AI-driven decision-making systems.
• Author and review validation documentation (URS, FS, DS, IQ/OQ/PQ protocols, reports).
• System Lifecycle Management:
• Oversee system implementation, upgrades, and change control for automation and AI platforms.
• Collaborate with IT, Engineering, and Quality teams to maintain validated state of systems.
• Regulatory Compliance:
• Ensure adherence to cGMP, FDA, EMA, and global regulatory guidelines for sterile injectable manufacturing.
• Support audits and inspections by providing validation evidence and technical expertise.
• Innovation & Continuous Improvement:
• Identify opportunities to integrate AI and advanced analytics for process optimization and predictive maintenance.
• Drive digital transformation initiatives.
• Quality Oversight & Approval:
• Provide independent quality oversight for automation and AI validation activities.
• Review and approve validation protocols, reports, and change control documentation to ensure compliance and data integrity.
• Act as a quality representative during system implementation and qualification phases.
• Adhere to company and departmental timelines with high accuracy and quality.
• Maintain an atmosphere of teamwork, cordiality, and respect towards co-workers.
• Performs other duties as assigned.

Core Values

This position is expected to operate within the framework of our Core Values:

• Center on People: We commit to support the well-being of our patients. We are committed to treating our employees and those we serve as valued partners. By placing people at the heart of our actions, we actively engage, invigorate, acquire knowledge, and grow together.
• Are Proactive & Agile: We embody a culture of engagement and action. With a hands-on approach, we fearlessly adapt to change. We anticipate, respond swiftly and efficiently to ignite a spirit that propels us towards extraordinary outcomes.
• Act Ethically: We are committed to consistently conducting our business in an ethical, compliant, and socially aware manner, in line with our purpose of positively impacting lives. We actively cultivate diversity, equity, inclusion & sustainability in our workplace.
• Constantly Improve: We are committed to a collaborative & proactive effort to improve our products, systems, processes, and services by reducing waste, increasing efficiency & improving quality.
• Are Accountable: We think, act, and communicate with honesty, transparency, and clarity in alignment with our core values. We don't compromise our values for near term gain. We take accountability & ownership of our work, actions, successes, and setbacks. We strive to deliver our best as we shape the future.

Knowledge, Skills & Abilities

• Excellent organizational and project management skills.
• Excellent oral and written communication skills.
• Ability to work independently with minimal supervision and as part of a cross-functional team.
• Advanced knowledge of Automation and CSV/CSA principles, industry guidance, regulatory requirements, cGMP practices, and ICH guidelines.
• Strong project management and cross-functional leadership skills.
• Ability to author strong technical reports free of errors.
• Advanced knowledge with Microsoft Office Suite, and various GMPS systems such as Veeva eQMS, Maximo CMMS, BMS, LIMS, CDS, and ERPs.
• Familiarity with SCADA, PLC, MES, and AI platforms from simple context analysis tools to large language modeling, prompt engineering and the role of human interaction for process engineering and establishment of trustworthy data.
• Advanced troubleshooting and problem-solving skills.
• Ability to manage multiple projects concurrently and under tight time constraints.

Education & Experience

• Bachelor’s degree in Engineering, Computer Science, Pharmaceutical Sciences, or related field required
• Master’s degree in Engineering, Computer Science, Pharmaceutical Sciences, or related field preferred
• Minimum of 8 years’ experience in pharmaceutical automation and computerized system validation.
• Strong knowledge of sterile injectable manufacturing processes and aseptic techniques.
• Hands-on experience with AI/ML applications in manufacturing or quality systems preferred.
• Expertise in GAMP 5, 21 CFR Part 11, Annex 11 and knowledge of Annex 22 compliance.
• Proficiency in risk-based validation and data integrity principles.

Working Conditions

• Working conditions include general office environment.
• Business demands may require working extended hours.