Artificial Intelligence

• Support development of AI and data solutions including analytics pipelines, dashboards, and basic machine learning models
• Analyze structured and unstructured datasets to generate actionable insights
• Assist in data preparation, feature engineering, and model validation
• Translate business requirements into technical specifications under guidance
• Contribute to client deliverables, documentation, and presentations
• Collaborate with data engineers, data scientists, and business stakeholders
• Apply responsible AI, data governance, and security principles in delivery

AI/Data Consultant – Fraud

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Adopt and run AV models to support GM’s long-term GPU system strategy and 'evergreen' infrastructure roadmap.
• Conduct deep-dive analyses of production workloads to identify bottlenecks and propose high-impact optimization strategies.
• Partner with AI/ML Research, Infrastructure Engineering, and Cloud Vendors to spearhead projects that enhance engineering velocity and cost-efficiency.
• Identify opportunities for architectural improvements to ensure the scalability and reliability of large-scale ML training and inference environments.

Senior AI/ML Performance Engineer

• Conduct deep-dive analysis into LLM architectures and agentic frameworks to identify potential security weaknesses, including risks associated with prompt injection and safety filter bypasses.
• Evaluate the security boundaries in Agent-to-LLM and Agent-to-Application interactions, focusing on how autonomous loops and multi-step reasoning processes can be secured against manipulation.
• Develop methodologies to test the robustness of RAG (Retrieval-Augmented Generation) pipelines and third-party tool integrations, ensuring resilience against adversarial inputs.
• Map research findings and defensive strategies to industry standards, such as the MITRE ATLAS framework and the OWASP Top 10 for LLM Applications.
• Contribute to the security community by publishing whitepapers or presenting research on the safety and security challenges of AI agents at industry conferences.

Senior AI/LLM Threat Researcher – AI Detection and Response

• Design and lead cross functional customer-facing engagements to develop and deploy a modern Agentic vision of Agreement Management business processes
• Design, build, and deploy AI enabled workflows and solutions that integrate Docusign AI capabilities including but not limited to, Docusign’s MCP Server and APIs, Docusign Web Forms backed by APIs to third party systems, Custom Extractions, Docusign skills in third party agentic platforms (e.g. Docusign’s integration with Open AI, Claude Cowork, Microsoft CoPilot, Harvey and Legora) and other similar customer Agentic Tech stacks to automate and optimize customer business processes
• Execute deployment 'firsts' to prove out, capture, and productionize new Agentic implementation patterns, repeatable use cases and toolkits
• Run technical demos, trainings, and workshops for technical and non-technical audiences
• Partner directly with customer stakeholders, Docusign product, engineering, success, services and partner team members and third party system integrators to translate open-ended operational business requirements into production level AI enabled business solutions
• Memorialize repeatable deployment strategies and contribute insights and learnings back to Docusign product and engineering teams
• Develop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories to ensure autonomous AI tools operate accurately and reliably
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
• Synthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross functional data based recommendations to establish and deliver product consulting toolkits to establish enterprise-deployable implementation guides
• Partner with our Partner Enablement and larger partner organization to equip the partner ecosystem to implement well-architected solutions by contributing repeatable deployment best practices and blueprints
• Evaluate human and AI-generated code critically for correctness, quality, security, performance, and compliance within isolated cloud environments

Lead AI Solutions Delivery Engineer

• Identify and engage experts to contribute opinion articles, interviews, and case studies relevant to defense technology and industry.
• Host episodes of the vertical's dedicated podcast.
• Ensure content alignment with the vertical's tone, style, and objectives.
• Review and edit all content for clarity, accuracy, and consistency.
• Balance contributions across private sector, academic, and government perspectives.
• Manage and work with junior staff.
• Create and oversee the editorial calendar and production timeline.
• Monitor performance, feedback, and survey responses to assess and enhance audience engagement.
• Ensure that the vertical continues to live up to the best-in-class reputation of *War on the Rocks.*
• Serve as the vertical's spokesperson and evangelizer.
• Work closely with key stakeholders, including the vertical's sponsor(s) and partner(s).

Executive Editor – Military AI

• Identify, prospect, and close new business opportunities.
• Sell our comprehensive suite of AI data solutions—including data collection, annotation, and generative AI services.
• Drive New Revenue: Exceed annual sales targets and expand TransPerfect’s AI footprint.
• Act as a subject matter expert, guiding clients through the complexities of AI data preparation.

Enterprise Solutions AI Consultant

• Set the multi-year strategy for ML, data, and BI
• Build and scale the Data Science / AI, Data Engineering, and BI Engineering organization
• Manage managers and tech leads
• Run performance management, career development, and retention
• Operate as a peer to VP-level leaders across various functions
• Own the architecture, deployment, and operation of the production ML

VP of AI, ML and Data Strategy

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• Supports the deployment, orchestration, standardization, and continuous improvement of enterprise Agentic AI workflows and AI-enabled business processes
• Coordinates multi-agent workflows across enterprise systems, business functions, and AI platforms to improve operational efficiency, user experience, and process automation
• Promotes the effective use of repeatable AI processes, orchestration methodologies, governance standards, and enterprise best practices
• Collaborates with business stakeholders, technical teams, and platform teams to identify automation opportunities, improve workflows, and enable scalable AI solutions across the enterprise
• Participates in the evaluation, deployment, and operational support of Agentic AI capabilities, including workflow orchestration, AI task coordination, process monitoring, and AI governance adherence
• Coordinates and supports multi-agent AI workflows across enterprise tasks, systems, and business processes
• Assists in defining and deploying repeatable orchestration standards, methods, and best practices for Agentic AI solutions
• Collaborates with business process owners to identify automation and workflow optimization opportunities
• Supports implementation and configuration of AI-driven workflows using enterprise AI and automation platforms
• Monitors workflow performance, operational metrics, and orchestration effectiveness to identify improvement opportunities
• Participates in evaluating emerging AI orchestration technologies and enterprise automation capabilities
• Assists in documenting workflow logic, orchestration patterns, governance controls, and operational procedures
• Promotes adoption of enterprise AI standards, common processes, and reusable workflow patterns
• Coordinates with technical teams, product managers, and platform teams to support deployment and scaling of Agentic AI capabilities
• Supports integration activities across enterprise systems, knowledge sources, APIs, and workflow platforms
• Participates in operational reviews, lessons learned, and continuous improvement activities related to AI-enabled processes
• Helps establish governance and compliance alignment for AI workflow execution and enterprise usage standards
• Provides education, guidance, and operational support to users adopting AI-enabled workflows and orchestration capabilities

Mid-Level AI Workflow Orchestration Specialist

• Set the direction of the venture and lead its execution
• Refine the ICP, pricing model, and product positioning across freight brokerages, 3PLs, carriers, and warehouse operators
• Lead pilots with mid-sized to enterprise freight brokerages, convert them to paid engagements, and build the go-to-market motion targeting Heads of Logistics, Supply Chain, and Operations
• Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback, with a focus on TMS and load board integrations, conversational AI quality, and autonomous workflow execution
• Lead the seed raise, supported by FutureSight's network and traction
• Recruit and lead the founding team, and establish the cultural foundation of the company

Co-Founder & CEO – AI Communication Agents for Freight & Logistics

• Set the direction of the venture and lead its execution.
• Refine the ICP, pricing model, and product positioning across the AEC vertical wedge
• Lead pilots with mid-market AEC firms, convert them to paid engagements, and build the go-to-market motion through AEC networks, marketing associations, and industry partnerships
• Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback, with a focus on compliance extraction, semantic mapping, and SME workflows
• Lead the seed raise, supported by FutureSight's network and traction
• Recruit and lead the founding team, and establish the cultural foundation of the company

Co-Founder & CEO – AI Proposal Intelligence for AEC

• Refine the ICP, pricing model, and product positioning, including the choice of execution path between consumer returns–led (B2C commerce) and warranty & credit–led (B2B supply chains)
• Lead pilots with operations-heavy commerce, retail, or supply chain organizations, convert them to paid engagements, and build the go-to-market motion
• Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback, with a focus on intake intelligence, policy enforcement, dynamic routing, and financial closure
• Lead the seed raise, supported by FutureSight's network and traction
• Recruit and lead the founding team, and establish the cultural foundation of the company

Co-Founder & CEO – AI Reverse Logistics Orchestration Platform

• Develop and own the enterprise AI enablement strategy, including training programs, change management frameworks, and adoption roadmaps
• Design and deliver hands-on workshops, learning paths, and onboarding programs that upskill employees at all levels on AI tools and workflows
• Serve as the primary connector between technical AI teams and business units, translating capabilities into practical, day-to-day use cases
• Build and manage an internal AI community of practice to share learnings, best practices, and success stories
• Define and track adoption KPIs — measuring utilization, productivity impact, and ROI across AI initiatives
• Partner with HR, L&D, and Communications to embed AI fluency into the employee experience
• Develop governance guardrails and responsible AI usage guidelines for the broader workforce
• Stay current on emerging AI tools, trends, and vendors, and bring relevant insights back to the business

AI Adoption & Enablement Lead

• Own the enablement strategy and rollout plan for AI tools used across the Revenue organization
• Develop enablement assets: quick-starts, job aids, demos, FAQs, templates, and scenario-based learning
• Build and manage a quarterly enablement roadmap aligned to GTM priorities, release schedules, and stakeholder needs

AI Enablement Product Manager

• Lead the design and delivery of advanced analytics, visualization, and AI solutions for global clients
• Develop interactive dashboards and insights using Power BI, Tableau, and Looker Studio
• Architect and oversee data integrations and migrations across platforms such as EQuIS, Enablon, and modern cloud environments (Azure, AWS, GCP)
• Design and maintain scalable data pipelines using SQL, Python, and ETL frameworks
• Partner with clients to define data models, governance frameworks, data quality, and security standards
• Design and implement agentic AI workflows and AI-enabled use cases supporting EHS&S and sustainability objectives
• Support environmental data analysis across groundwater, surface water, air quality, and biological metrics
• Act as a trusted advisor to senior client stakeholders, translating business strategy into digital solutions
• Contribute to practice development, internal knowledge sharing, and innovation initiatives

Principal Consultant – Global AI, Data Services

• The AI and Experience Orchestration Director leads strategic engagements, working closely with core account teams to accelerate adoption of Genesys native AI and Experience Orchestration capabilities.
• This role brings deep expertise in AI powered customer experience and helps clients translate business goals into impactful AI use cases that deliver measurable outcomes.
• Engage confidently with senior and C-level leaders and orchestrate complex opportunities across internal and external teams.
• Influence and guide deal strategy, partnering closely with account executives to support territory planning, pipeline creation, opportunity progression, and forecasting.
• Drive field execution of programs across the Genesys AI portfolio including sales campaigns and enablement initiatives.
• Serve as a trusted subject matter expert and model best practice sales motions that elevate capability across the wider team.
• Provide hands on support for positioning, presentations, pricing, proposals, and other key materials related to Genesys AI and Experience Orchestration.
• Lead customer workshops that shape AI use cases, prioritisation frameworks, and pilot opportunities.
• Act as the voice of the customer by capturing insights and partnering with cross functional teams in marketing, product, customer success, and professional services.
• Identify strategic priorities and develop AI led opportunity pathways aligned to customer objectives.

AI and Experience Orchestration Director

• Research emerging trends in AI, medicine, cardiology, digital health, clinical decision support, and health care data markets.
• Track competitive developments involving medical AI companies, large language models, clinical knowledge platforms, registry-based analytics, and AI-enabled education or certification products.
• Prepare concise written briefs, memos, slide content, and background materials for senior leadership, task forces, committees, and Board-level discussions.
• Support analysis of potential ACC product and business opportunities, including registry-enabled research tools, AI-assisted clinical knowledge products, education offerings, certification pathways, and industry-facing data services.
• Help document use cases, market needs, customer segments, risks, dependencies, and implementation considerations for proposed AI and innovation initiatives.
• Assist with stakeholder interviews, market scans, competitive landscaping, and synthesis of input from physicians, staff, consultants, technology partners, and external experts.
• Translate complex technical or strategic concepts into clear, executive-ready language.
• Maintain organized research files, issue trackers, decision logs, and briefing materials to support ongoing strategy development.

Junior Analyst, AI Strategy and Innovation

• Engage in patent prosecution for clients in AI and software technologies
• Collaborate with clients using cutting-edge technology
• Work in a team environment in one of the specified offices

Patent Prosecution Associate – AI and Software Technologies

• Help the SVP translate high-level strategy into execution-ready alignment across multiple product lines, turning ambiguity into order.
• Actively look across product teams to identify gaps and friction points in AI functionality, identity, security, data architecture, and platform APIs.
• Lead product reviews and governance processes to surface and resolve ecosystem conflicts before they impact customers.
• Build and maintain a living map of portfolio capabilities, overlaps, gaps, and interdependencies to ensure Salesforce moves as a unified AI platform.
• Serve as a trusted advisor to product GMs and business unit product leaders on the portfolio-level implications of local roadmap decisions.
• Apply program management rigor to keep matrixed alignment workstreams and stakeholder commitments on track.
• Partner with leadership to prepare portfolio coherence and AI strategy materials for executive and board-level planning conversations.
• Partner closely with pricing, finance, and product leadership to identify inconsistencies or risks in cross-portfolio packaging and AI monetization strategies.
• Champion intuitive, portfolio-level pricing logic without needing to own the direct pricing execution.
• Conduct structured capability gap assessments against market shifts and competitive AI benchmarks.
• Identify and prioritize acquisition or partnership targets that can accelerate our horizontal AI and platform capabilities.
• Lead the product-side due diligence on inbound and outbound M&A targets, ensuring seamless integration potential.

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