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The Director will lead the adoption and integration of AI capabilities across the organization by translating complex technical concepts into actionable guidance for non-technical stakeholders. They will manage a team responsible for AI education, strategic communications, and building organizational fluency in AI-driven transformation.
You will advise clients on the sustainable implementation of AI technologies and facilitate workshops to identify and map out AI use cases. Additionally, you will develop tailored AI solutions and manage projects in collaboration with an offshore development team.
The Senior Associate Project Manager will own the end-to-end execution of AI and data projects, including scoping, model-pipeline setup, and deployment. They will coordinate cross-functional teams and track KPIs to ensure projects are delivered on time and within budget.
Support the delivery of agentic AI and AWS modernization projects by building and testing components under the guidance of Forward-Deployed Engineers. Assist in converting existing functionality into callable agent tools and document technical decisions to ensure traceability.
You will own the full development lifecycle of features from conception to deployment while building scalable, maintainable, and customer-centric systems. You will also collaborate with cross-functional teams to design innovative solutions and contribute to team growth through interviewing.
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The 3D and AI Art Director will lead the creative vision and visual identity of digital-first projects by integrating 3D, CGI, and AI technologies. They will also mentor a multi-disciplinary team and collaborate with sales and marketing to deliver innovative, high-impact design solutions.
The architect will ensure that generative and agentic AI solutions are identity-safe by implementing robust access governance and non-human identity management. Additionally, they will identify and prototype AI-driven automations to accelerate the IAM program's delivery speed and improve operational efficiency.
You will develop and deploy machine learning and generative AI solutions to identify payment integrity issues and improve healthcare outcomes. This role involves collaborating with cross-functional teams to build end-to-end data pipelines and monitor model performance in production.
The role focuses on building AI-powered tools, prompts, and automations to support sales teams while also providing field support through prospecting and relationship building. You will deliver targeted training on AI best practices and collaborate with cross-functional teams to improve sales efficiency.
You will identify and build AI-driven automation workflows to enhance business efficiency across various domains. You are responsible for deploying these agents into production, monitoring their performance via KPIs, and ensuring they integrate reliably with enterprise systems.
The Vice President will drive revenue growth and CXO-level expansion by shaping and selling transformational, AI-led industry solutions for healthcare clients. They will lead cross-functional teams to develop innovative offerings and build long-term strategic partnerships with key healthcare executives.
The Android Software Engineer will build and maintain production-grade mobile applications while integrating AI-assisted capabilities to improve user experience. They will collaborate with cross-functional teams to optimize application performance, scalability, and security across insurance and financial products.
The Principal Software Engineer will drive cross-team architectural decisions for the AI SIEM platform, ensuring seamless integration between data ingest, analyst workflows, and detection engines. They will mentor senior engineers and establish technical standards to maintain system interoperability and performance at scale.
The specialist will design, develop, and train AI-powered virtual agents and automated workflows to optimize Service Desk operations and end-user self-service. They will also integrate these solutions with ITSM tools and enterprise systems while monitoring model performance and data quality.
The AI Process Automation Analyst identifies automation opportunities through process walkthroughs and data analysis to build and deploy AI-enabled workflows. They are responsible for creating monitoring dashboards, maintaining documentation, and partnering with business units to scale AI solutions across the organization.
You will design, build, and operate the enterprise AI platform, including the Gateway, Harness, and Semantic Layers. You will also write production code to govern, observe, secure, and scale AI activity across the company.
The AI Business Development Manager will identify and develop new sales opportunities while managing existing client accounts to ensure retention and growth. They are responsible for accurately tracking sales in the CRM and staying current on global AI regulations and technical standards.
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The Solution Architect will partner with government clients to translate mission goals into AI-enabled strategies and deploy technical solutions. They will also mentor partners and customers while building resources to support the adoption of NVIDIA's AI software and hardware technologies.
The Senior QA Automation Engineer will design and enforce a robust automated testing strategy for distributed systems, Python microservices, and agentic AI workflows. They will also integrate test suites into CI/CD pipelines as quality gates and perform root-cause analysis to resolve test flakiness.
You will design and build complex backend AI modules, including agentic workflows and RAG pipelines, while ensuring production-grade performance and scalability. You will also own the end-to-end delivery of AI components and contribute to internal tooling to streamline future client engagements.
Lead and scale AI engineering teams to deliver production-grade AI systems and customer-facing capabilities. Partner with cross-functional leaders to translate strategic AI roadmaps into reliable, scalable software outcomes.
You will design and build modern, responsive web applications to power AI Receptionist experiences for enterprise customers. This involves collaborating with cross-functional teams to integrate frontend applications with backend services and AI-powered capabilities.
The Digital Account Manager will own client relationships and drive performance across digital advertising campaigns by leveraging AI-driven automation. Responsibilities include monitoring campaign performance, presenting strategic insights, and identifying opportunities for account growth and retention.
You will manage the operating cadence and sales collateral for a marquee enterprise account while identifying new expansion opportunities. Your role involves maintaining CRM hygiene, reporting on pipeline metrics, and collaborating with senior GTM leaders to ensure seamless account execution.
The AI Workflow Automation Manager leads the design and execution of intelligent marketing workflows for clients. This role involves developing Python and SQL automation scripts while collaborating with teams to map processes and implement scalable solutions.
You will analyze business processes to identify and design Generative AI solutions that create tangible business value for clients. Additionally, you will manage customer relationships, lead pre-sales activities, and actively contribute to the team's strategy and development.
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The consultant will design, build, and integrate geospatial components for an agentic AI system using Esri ArcGIS and LLM orchestration. They will also develop validation logic for alert geometry and maintain REST API endpoints to support federal emergency alerting workflows.
Partner with customers to translate complex business challenges into scalable, production-ready AI solutions. Design and architect end-to-end AI systems while collaborating with cross-functional teams to deliver measurable business impact.
The Director of Facilities Engineering will lead the engineering strategy, design, and operational reliability for mission-critical AI data center infrastructure. This role involves overseeing multidisciplinary teams to ensure scalable, energy-efficient facilities while managing the full lifecycle of electrical, mechanical, and cooling systems.
The AI Risk Engineer will design and implement security controls for AI and LLM-based applications while building threat models to mitigate risks like prompt injection and model abuse. They will also collaborate with security and compliance teams to conduct AI security assessments and drive remediation efforts.
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