It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
Maintain a deep working knowledge of the Facilities tech stack (Autodesk Construction Cloud, Revit, Kahua, and proprietary system) to build solutions that fit how people actually work Communicate impact to leadership in business terms - dollars, days, headcount equivalents - not just technical metrics Qualifications Required Qualifications & Skills 7+ years in a technical role - software development, product ownership, technical program management, or similar Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field; OR equivalent practical, hands-on experience in lieu of a degree Demonstrated experience building enterprise apps with AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code, OpenAI Coxed, and equivalent) Working knowledge of prompt and skill engineering, AI agent design and orchestration, and LLM application development Ability to connect systems via APIs and configure workflow automations end-to-end Strong UI/UX instincts - can produce functional, clean interfaces without a design team Excellent communication skills; equally comfortable in a whiteboard session with leadership or a working session with ops teams Self-directed; thrives in ambiguous environments and can quantify and communicate the business impact of technical work in terms of cost savings, time reduction, and operational efficiency Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid Pay Disclosure The salary range for this role is USD 125,800-157,200 for Georgia based applicants. Responsibilities Build & Deploy Design, build, and deploy internal applications, agents, and multi-step automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting the highest-cost manual processes across the Facilities org, such as project reporting, cost tracking, change order management, schedule forecasting, document review, cross-functional coordination, and vendor coordination Connect Facilities platforms (ACC, Procore, Kahua, FOS, Databricks) via APIs and MCP integrations to create seamless, intelligent workflows that unify siloed data and eliminate duplicate work Stand up production-ready enterprise solutions where speed and simplicity are prioritized over engineering complexity.
ul> Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.
The AI Cloud Security and Infrastructure Engineer designs, implements, and maintains secure, scalable cloud environments optimized for AI‑driven applications and focuses on enabling the eMerge Custom Solutions team to securely build and deploy solutions powered by Large Language Models (LLMs) and other advanced AI technologies. Exceptional written and verbal communication skills, with the ability to effectively engage both technical and non-technical stakeholders and the ability to clearly communicate complex technical concepts to non-technical stakeholders.
You will play an instrumental role in Ovid re-platforming and development of Ovid.com to capture GenAI enabled market opportunities in agentic medical research to sustain Ovid subscription businesses, enhance and extend the Ovid brand, manage intellectual property from development, and foster targeted business and technology partnerships.
ul> About the job youre considering As an AWS Cloud Presales Solution Architect specializing in the Amazon suite of AI products, youll be a trusted advisor and thought leader, empowering clients to leverage the full potential of AWS Cloud technologies to revolutionize their customer experiences, sales, marketing, and supply chain operations.
p>Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust Extract, Transform, Load (ETL) pipelines and integrate predictive tools into existing warehouse and logistics software.
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Requires advanced knowledge and skills including technical or functional expertise, business acumen, financial analysis skills, risk management, delegation skills, critical thinking, and decision-making skills. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. The ideal candidate should demonstrate hands-on proficiency in Apex, Triggers, Lightning Web Components (LWC), Aura Components, and Flows.
p style="min-height:1.5em">As a Staff Engineer on the AI team, you’ll design, build, and extend Sema4.ai’s cognitive architectures—the core platform at the center of our agents. Take on problems where the shape of the solution isn’t obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Manager is responsible for the hands-on implementation and integration of AI agents, ensuring seamless tool integrations (such as with analytics software), efficient code deployment, and ongoing performance optimization.
Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. If you believe youve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
You will define the strategy, operating model, metrics, and governance needed to continuously improve control effectiveness across on‑premise and cloud environments and ensure AI-enabled workflows operate within enterprise security, privacy, and data protection expectations by detecting misuse, configuration drift, and control gaps. Our team focuses on reducing systemic risk by strengthening baseline security controls, improving configuration hygiene, and building scalable programs that enable safe adoption of modern and AI-enabled technologies across the enterprise.
Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. As a Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our end user and 3rd party SaaS AI systems, combining strategic thinking with hands-on technical expertise.
This is a great opportunity for someone who thrives in an ambiguous, fast-changing, highly matrixed environment and enjoys working cross-functionally with teams like HR Business Partners, Talent Acquisition, Talent Management, Total Rewards, and People Operations. In this role, you'll play a key role in improving the effectiveness, scalability, and innovation of the HR organization by leading complex, cross-functional initiatives and identifying opportunities to leverage AI and automation across HR processes and workflows.
What makes this role distinct is that you will also architect and operate the AI-assisted proposal workflow: building and maintaining the answer corpus, tuning retrieval pipelines, and managing the human review loop that ensures every response is accurate, competitive, and on-brand. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals.
Specifically, you will: Designing CRM‑ready AI agents that operate across data ingestion, signal normalization, decisioning logic, and activation triggers Translating CRM strategies into operational agent architectures that account for: Data latency, quality, and ownership Identity resolution and consent constraints Channel orchestration rules and suppression logic Integrating agent workflows into existing CRM stacks, including CDPs, journey orchestration tools, marketing clouds, and analytics platforms Partnering with platform and solution partners (e.g., CDP, identity, activation, analytics) to define where the agent layer sits-and how it interoperates Building or overseeing working agent prototypes that can plug into partner environments for pilots, POVs, or live programs Establishing operational guardrails: human‑in‑the‑loop checkpoints, QA frameworks, escalation paths, and monitoring Creating reusable agent patterns and operating models that teams can deploy consistently across clients and partners Supporting new business by demonstrating how AI agents work with, not against, enterprise CRM ecosystems Qualifications Who Thrives in This Role This role is ideal for someone who: Has deep experience in CRM, lifecycle marketing, or marketing technology Understands segmentation logic, journey triggers, suppression rules, and channel orchestration Has spent the last 1-2 years actively building with LLMs, agents, or AI orchestration tools Is energized by ambiguity and moves quickly from concept to output Thinks in inputs, decisions, and outcomes, not features or channels Is comfortable being both strategic and hands‑on, often in the same day You don't need to come from a traditional agency background, but you do need to be able to operate in fast‑paced, client‑facing environments. What You Bring 10+ years of experience in CRM strategy, marketing technology, data‑driven programs, or adjacent fields Hands‑on experience with LLM‑based tools, agent frameworks, or AI orchestration platforms Strong understanding of CRM data models and lifecycle logic Ability to write clear, practical functional specifications for technical and non‑technical partners Enough technical fluency to collaborate credibly with engineers (Python, JavaScript, APIs, or equivalent) A track record of shipping real artifacts, not just concepts You should be able to point to something tangible you've built with AI: a prototype, an internal tool, a deployed agent, or a working workflow.
p>Job CategorySelect a Job CategoryADMINISTRATIVE SERVICESBUILD OPERATE MAINTAIN (PLANT OPNS)Business ProcessCONTINUOUS IMPROVEMENTDIGITAL TECHNOLOGY AND DATA (DT&D)ENVIRONMENTAL HEALTH AND SAFETYFINANCEFINANCIAL MARKETSFOOD SAFETY QUALITY & REGULATORYGENERAL AFFAIRSGlobal ImpactHUMAN RESOURCESLAWMARKETINGNO MATCHPROJECT MANAGEMENTRESEARCH & DEVELOPMENTSALESSECURITYSTRATEGIC SOURCING / PROCUREMENTSTRATEGY & CORPORTATE BUSINESS DEVELOPMENTSUPPLY CHAINSUPPLY CHAIN MANAGEMENTSUPPLY CHAIN PLANNINGTRADE EXECUTIONTRADINGTRANSPORTATION & LOGISTICS. To ensure a job posting and its full content are legitimate, note that it must be listed on one of Cargill's official websites: https://www.cargill.com/ or https://careers.cargill.com/.
p>Within the first few months, this individual will be building AI-powered proof-of-concepts, developing intelligent agents, leveraging GCP and BigQuery data assets, and helping shape the future direction of AI innovation initiatives across the organization. This is an ideal opportunity for a highly motivated builder who enjoys working in fast-moving environments, learning new technologies quickly, and turning ideas into working solutions.
Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude) to accelerate delivery while ensuring correctness, security, and maintainability • Design and operate event-driven architectures using AWS native services and messaging middleware. Expert-level understanding of enterprise integration patterns, including: o Event-driven and asynchronous integration o API-based and message-based communication o Workflow orchestration and choreography o Integration with shared enterprise services.
We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code. We're specifically looking for engineers who can answer questions like: Does this feel like something a strong engineer would actually say?.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. This is a 06+months contract opportunity with long-term potential and is located in Atlanta, GA(Hybrid).
Job Overview: We are seeking experienced AI Solution Development Engineers to design and deploy cutting-edge AI solutions across engineering domains. This role focuses heavily on Agentic AI, multi-agent systems, and LLM-based architectures to drive automation and intelligent workflows.