Bright Vision Technologies is seeking a Generative AI Engineer to design and develop applications powered by large language models and other generative models.
Locations (2)
Irving, Texas, United States
Las Colinas, Texas, United States
Compensation
Salary Range: $115,000–$165,000 Annually
Responsibilities
Build generative AI application components using approved foundation models, model APIs, and orchestration frameworks.
Develop retrieval-augmented generation workflows using document ingestion, chunking, embeddings, and vector retrieval.
Design prompts, structured outputs, tool integrations, and conversation workflows for defined application use cases.
Create evaluation datasets and assess answer quality, relevance, hallucination risk, latency, and cost.
Integrate AI capabilities with enterprise systems and implement logging, monitoring, fallback, and feedback mechanisms.
As an AI Forward-Deployed Technical Manager, you will lead the delivery of cutting-edge AI and machine learning solutions for Advanced Semiconductor R&D Modules. You will own the relationship with internal engineering stakeholders from a technical delivery standpoint, translating complex semiconductor domain challenges into AI/ML roadmaps. You will manage a team of Forward-Deployed Engineers and Data Scientists to design, build, and deploy production-grade AI systems (including LLMs, RAG pipelines, and predictive models), ensuring measurable business impact, operational efficiency, and adherence to AI safety and data governance standards.
Lead client AI strategy workstreams from discovery through business case and roadmap, working in a cross-functional team with oversight from the Director of AI Strategy.
The AI Implementation Specialist performs and integrates moderately complex professional Artificial Intelligence (AI) services in several operational, functional, or organizational areas. Designs and conducts studies, analyses, research; provides expert professional and consulting services; and prepares presentations and recommendations.
Compensation
$60,000-80,000
Responsibilities
Design and implement structured compliance and enforcement knowledge repositories that integrate with Elsa's capabilities
Establish appropriate taxonomy and metadata standards for searchable, etrievable information
Assist with the development of quality assurance protocols to ensure accuracy and relevance of stored information
Assist OCE leadership in assessing office needs and developing a plan for AI Agent and prompt development
Develop standardized prompt templates for common office use cases
Lead end-to-end AI/software development lifecycles (AIDC/SDLC) for healthcare applications, ensuring clinical usability, safety, data integrity, performance, scalability, and code quality.
Compensation
The salary range for this position is $123,900 - $192,000. Final determinations may vary based on several factors including but not limited to education, work experience, certifications, geographic location etc. This role is also eligible for an annual discretionary bonus.
Responsibilities
Lead end-to-end AI/software development lifecycles (AIDC/SDLC) for healthcare applications
Design and develop full-stack applications using .NET/C#, Typescript, React/Angular, Node.js, and integrated AI services
Architect and scale APIs, microservices, and cloud-native AI systems on AWS
Integrate applications with databases, healthcare systems, and third-party APIs/services
Provide hands-on technical leadership across architecture, component design, code reviews, documentation, Agile development, deployments, production support, and AI-enabled SDLC improvements
Requirements
Bachelor’s degree (or equivalent experience) in Computer Science, Software / Data Engineering, or related field
Nice to have: data engineering and management concepts
Operate, scale, and maintain production workloads across Google Cloud and AWS to provide a resilient, unified multi-cloud foundation for Procore's AI agent portfolio.
Compensation
Base Pay Range:
140,960.00 - 193,820.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation.
Responsibilities
Operate, scale, and maintain production workloads across Google Cloud and AWS
Manage production AI model workloads across Vertex AI, Amazon Bedrock, and Anthropic
Optimize Kubernetes (GKE and EKS) clusters
Proactively plan capacity and right-size stateful backends, queues, BigQuery storage, and vector databases
Lead the lifecycle management, staging rollouts, upgrades, and automated rollback strategies for production databases and search infrastructure
Requirements
Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
We are seeking a hands‑on, creative, and technically strong AI Innovation Lead to support our client delivery teams in bringing modern AI solutions to life within public‑sector organizations.
Compensation
The projected compensation range for this position is $145,000 to 185,000.
Responsibilities
Serve as a trusted advisor to the client organization on modern AI capabilities, best practices, and responsible use
Develop AI education materials, tutorials, demo videos, and onboarding sessions that are tailored to the client organization’s needs
Lead or support AI enablement events such as workshops, lunch‑and‑learns, innovation sprints, and capability briefings
Design and implement AI prototypes and proof‑of‑concept solutions tailored to specific mission use cases
Work with cloud platform teams to integrate prototypes into modern cloud environments
Requirements
Bachelor’s degree
Nice to have: federal government experience
Nice to have: biomedical or health research experience
Develop and implement AI-powered capabilities that enhance customer engagement, sales effectiveness, and operational efficiency across enterprise CRM platforms.
Compensation
Competitive base salaries
Bonus incentives
Responsibilities
Develop and implement AI-powered capabilities that bring greater intelligence and automation into customer and sales processes
Build GenAI and Agentic AI solutions for quality monitoring, intelligent workflows, personalized customer experiences, and customer data enrichment
Integrate AI applications with enterprise systems, APIs, and data platforms while ensuring operational reliability and performance
Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions
Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards
Lead the end-to-end lifecycle of enterprise AI deployments—from initial scoping and proof-of-concept (PoC) to full production deployment and scaling.
Manage, mentor, and unblock a multidisciplinary team of AI/ML engineers, forward-deployed engineers, and data scientists embedded within engineering teams.
Translate complex domain problems into concrete data science and engineering requirements.
Bridge the gap between central IT/AI platforms and domain-specific R&D teams.
Ensure deployed AI models adhere to enterprise IP security, data privacy, and strict compliance standards.
Requirements
Master’s or PhD in Computer Science, Data Science, AI/ML, or a related quantitative engineering field.
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