Title: Vision AI Engineer - 67516 Location: United States Location: Remote -, Kentucky, United States Job ID: R0134963 Date Posted: Jul 1, 2026 Company Name: Hitachi Digital Services LLC Job Schedule: Full time Remote: Yes Job Description: Back to Search Results Previous Opportunity Next Opportunity Careers Home > Job Search Results > Vision AI Engineer - 67516 Vision AI Engineer - 67516 Location: Remote -, Kentucky, United States Job ID: R0134963 Date Posted: Jun 25, 2026 Company Name: Hitachi Digital Services LLC Profession (Job Category): IT, Telecom & Internet Job Type (Experience Level): Entry Level Job Schedule: Full time Remote: Yes Share: mail Apply Now Apply Now (Hitachi Employees) HiNext Access Required Save Job Saved Job Description: Function IoT Our Company We're Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world's potential. We're people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what's now to what's next. We make it happen through the power of acceleration. Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don't expect you to 'fit' every requirement - your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us. Job description Meet Our Team At Hitachi Digital Services, our Software Engineering team develops innovative, scalable, and high-quality software solutions that power critical business operations and customer-facing products. We leverage modern development practices, emerging technologies, and collaborative engineering approaches to build software platforms and applications that drive digital transformation. As an Entry-Level Software Development Engineer, you'll work alongside experienced engineers and architects while building a strong foundation in software design, development, testing, and deployment. What You'll Be Doing - Participate in the design, development, testing, and maintenance of software applications and platform solutions. - Collaborate with senior engineers and stakeholders to gather and analyze business and technical requirements. - Develop software components using programming, scripting, and database technologies. - Support software implementation activities, including coding, debugging, testing, and deployment. - Assist in analyzing software requirements, system functionality, and interactions between hardware and software components. - Contribute to software enhancement initiatives by implementing new features and resolving defects. - Participate in code reviews and follow established coding standards and software development best practices. - Support software testing activities, including unit testing, integration testing, and defect resolution. - Maintain accurate technical documentation for software functionality, processes, and system changes. - Work with source control systems, build tools, and development environments to support software delivery. - Respond to scope changes, troubleshoot issues, and support continuous improvement efforts throughout the software lifecycle. - Learn and apply modern software engineering methodologies, tools, and development frameworks. What You'll Bring to the Team - Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related technical field. - Foundational knowledge of software development principles, data structures, algorithms, and object-oriented programming concepts. - Familiarity with one or more programming languages such as Java, C#, C++, Python, JavaScript, or similar technologies. - Basic understanding of software development lifecycle (SDLC) methodologies and development best practices. - Exposure to database concepts, SQL, and data management principles. - Understanding of software testing concepts, debugging techniques, and quality assurance practices. - Knowledge of version control systems such as Git or similar source control platforms. - Strong analytical and problem-solving skills with attention to detail. - Ability to communicate technical concepts clearly and work effectively within a collaborative team environment. - Eagerness to learn new technologies, tools, and development frameworks. Preferred Qualifications - Internship, academic project, or co-op experience in software development. - Familiarity with Agile or Scrum development methodologies. - Exposure to cloud platforms, APIs, web technologies, or modern application architectures. - Knowledge of software build, deployment, and CI/CD concepts. - Understanding of software engineering best practices, including code reviews, source control management, testing, and operational support. Career Level: Entry Professional Work Environment: Closely supervised with opportunities for learning, mentorship, and professional development while contributing to real-world software engineering projects. About us We're a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. Fostering innovation through diverse perspectives Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth. We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work. How we look after you We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. We're proud to say we're an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success. Share: mail Apply Now

Role Description We are seeking an Engineering Subject Matter Expert to help develop next-generation AI systems by applying real-world engineering expertise to evaluate, create, and improve technical content. In this role, you will review engineering documentation, assess technical accuracy, and contribute practical engineering knowledge that enhances AI reasoning and performance. No prior AI experience is required—your engineering expertise is what matters most. Key Responsibilities - Technical Review & Analysis - Review and analyze engineering documentation, including technical reports, design documents, specifications, and project analyses. - Evaluate engineering submissions for technical accuracy, completeness, clarity, and adherence to industry best practices. - Provide detailed technical feedback, clarifications, and expert recommendations on complex engineering scenarios. - Content Development - Develop real-world engineering examples, case studies, and problem sets across various engineering disciplines. - Create structured technical explanations to help improve AI understanding of practical engineering concepts. - Ensure all technical content is accurate, well-organized, and aligned with engineering principles. - AI Model Evaluation - Assess AI-generated engineering responses for correctness, logical reasoning, and technical rigor. - Identify errors, inconsistencies, or gaps in engineering outputs and provide actionable feedback to improve model performance. - Contribute to the development of high-quality engineering datasets for AI training and evaluation. - Collaboration & Process Improvement - Work closely with project teams to ensure deliverables align with project milestones and quality standards. - Share industry best practices and technical insights to enhance project methodologies. - Collaborate effectively in a remote environment while maintaining high-quality documentation and deliverables. Qualifications - Bachelor's, Master's, or PhD in Mechanical, Civil, Electrical, Chemical, Industrial, Aerospace, Electronics, Manufacturing, or any other Engineering discipline. - Experience preparing technical reports, engineering documentation, design specifications, or project analyses. - Strong analytical and problem-solving skills with attention to technical detail. - Excellent written and verbal communication skills with the ability to explain complex engineering concepts clearly. - Ability to work independently and manage deliverables in a remote work environment. Requirements - Experience working on multidisciplinary or cross-functional engineering projects. - Ability to communicate technical concepts effectively to both technical and non-technical audiences. - Familiarity with engineering standards, regulatory compliance, quality assurance, or industry best practices. - Experience reviewing engineering documentation or providing technical guidance. - Passion for innovation, technology, and engineering education. Must-Have Skills - Engineering Documentation - Technical Analysis - Technical Report Writing - Problem Solving - Engineering Design Review Good-to-Have Skills - Quality Assurance - Regulatory Compliance - Technical Documentation - Cross-functional Collaboration - Engineering Standards - Project Analysis - Design Documentation - Research & Technical Writing

Role Description The AI Engineer is the builder-in-residence for Camden's AI Sandbox, the dedicated environment where we rapidly prototype, evaluate, and de-risk emerging AI capabilities before they enter production. This role exists to move fast: turning business ideas into working proofs-of-concept, testing new models and tools, and producing the evidence that helps Camden decide what to scale, what to shelve, and what to integrate into core systems. This is a high-autonomy, high-curiosity role for someone who thrives in ambiguity and enjoys learning new technologies week after week and sharing what they find with others. Essential Functions - Rapid Prototyping & Experimentation: - Design, develop, and deploy functional prototypes of AI-driven solutions within accelerated timelines, spanning use cases such as document understanding, generative conversational interfaces, agent-based workflows, summarization, enterprise search, and predictive analytics. - Evaluate new foundation models, frameworks (LangChain, Semantic Kernel, AutoGen, etc.), and AI platforms (Azure AI Foundry, OpenAI, Anthropic, Copilot Studio) for fit against Camden's use cases. - Maintain a safe, isolated sandbox environment with appropriate guardrails for data, cost, and access. - This role is expected to evolve over time as organizational needs and priorities change; therefore, the responsibilities outlined above are not all-inclusive. - Evaluation & Measurement: - Define success criteria, benchmarks, and evaluation harnesses for each experiment. - Produce clear, evidence-based recommendations: what works, what doesn't, what it would cost to scale, and what risks need to be mitigated. - Document key insights and lessons learned to enable broader team and business stakeholders to effectively leverage and scale these capabilities. - Collaboration & Handoff: - Partner with the Application Development team to harden and transition promising prototypes into production-grade systems. - Work directly with business stakeholders to understand problems, demo possibilities, and shape demand. - Contribute to the development and advancement of Camden’s responsible AI practices, with a focus on data privacy, security, bias mitigation, hallucination management, and human-in-the-loop design principles. - Knowledge Sharing: - Run internal demos, lunch-and-learns, and writeups that raise AI literacy across IT and business. - Stay current on the AI landscape; bring back insights from research, vendor briefings, and the developer community. Qualifications - Bachelor's degree in Computer Science, Data Science, Engineering, or related field; equivalent experience considered. - 3+ years of software engineering or applied ML experience, with at least 1 year hands-on with generative AI / LLM-based systems. - Strong Python skills; comfort with REST APIs, vector databases, prompt engineering, and retrieval-augmented generation (RAG). - Experience with at least one major AI platform (Azure OpenAI / Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock). - Demonstrated ability to ship prototypes quickly and communicate results to non-technical audiences. - Excellent written and verbal communication skills; ability to translate between technical and business audiences. - Preferred experience with agent frameworks, multi-agent orchestration, and tool-use patterns. - Preferred experience with Microsoft Copilot Studio, Power Platform AI Builder, or similar low-code AI tooling. - Preferred familiarity with MLOps / LLMOps practices (evaluation, observability, cost tracking). - Preferred background in real estate, property management, or other operations-heavy industries. - Preferred comfort working without a detailed spec — turning a vague business question into a testable experiment. Requirements - Job is intermittently sedentary but requires mobility (i.e., climb stairs). - Will use some repetitive motion of hand-wrist in using computer and writing. - Works in a typical office setting. - Emotional stability and personal maturity are important attributes in this position. - Must handle stressful, urgent, novel and diverse work situations on a daily basis. - May require long hours and odd schedules (including weekends). - Position requires periodic travel by automobile to handle work-related activities. - May require airline travel, out-of-town and/or overnight trips. - Attendance and punctuality are essential for success in this position. - Hazards can be minimized with proper lifting techniques, SDS, general safety training, and wearing appropriate PPE. Benefits To learn more about our awesome Benefits, visit Camden Benefits.

• Build AI-powered product features integrated into real insurance workflows. • Design and optimize LLM-based interactions across customer and internal systems. • Develop prompts, reasoning flows, and structured AI outputs for production use cases. • Evaluate model performance using real-world data, feedback loops, and experiments. • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers. • Work closely with backend engineers to integrate AI capabilities into APIs and workflows. • Design and implement AI-driven automation features (chat, recommendations, decision support). • Analyze user behavior and model responses to continuously improve AI performance. • Collaborate with product, design, and engineering teams to ship end-to-end AI features. • Contribute to AI system design decisions focused on usability and real-world impact.