<p>Our client is seeking a <strong>Data Scientist II – Generative AI</strong> to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p>You will design and implement <strong>GenAI-powered agents</strong> that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
<p>Our client is building the next generation of intelligent, scalable enterprise applications at the intersection of Salesforce, AI, and automation. Their high-performing Marketing Applications team delivers mission-critical solutions that power large-scale operations, optimize business processes, and embed AI-driven insights across the organization.</p><p><br></p><p>They are seeking a <strong>Software Engineer III </strong>to independently design and deliver complex technical solutions while developing deep expertise across Salesforce, AI-enabled workflows, and enterprise integrations. This role is ideal for a proven engineer who enjoys architectural ownership, mentoring others, and working across a sophisticated technology ecosystem. Candidates from outside the Salesforce ecosystem are encouraged to apply if interested in specializing in these technologies.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Independently design, develop, and deliver complex, scalable Salesforce applications and integrations using advanced Apex, Lightning Web Components (LWC), and declarative tools</li><li>Design and maintain back-end services, APIs, and automation workflows using Node.js, Python, and cloud platforms (Azure or AWS)</li><li>Build and manage data pipelines and ETL processes across Salesforce and cloud-based data platforms</li><li>Own integrations between Salesforce and enterprise systems, defining data contracts using REST/SOAP APIs and event-driven architectures</li><li>Customize and extend agent-based capabilities to deliver context-aware, high-performance employee experiences</li><li>Drive adoption of AI capabilities, including predictive analytics, copilots, and generative AI within marketing and sales workflows</li><li>Contribute to AI and ML initiatives, including the secure integration of large language models into enterprise processes</li><li>Develop and optimize modern front-end applications using advanced JavaScript frameworks such as React.js or Next.js</li><li>Serve as a key contributor in Agile teams, influencing technical direction, roadmap planning, and conducting peer code reviews</li><li>Mentor junior engineers and promote engineering best practices and technical excellence</li><li>Collaborate closely with product managers, data science teams, and business stakeholders to translate requirements into scalable solutions</li></ul>
<p>We are seeking a senior security leader to shape how artificial intelligence changes our threat landscape, security architecture, and internal applications. This role operates at the intersection of security architecture, detection engineering, adversary simulation, and applied AI. The ideal candidate is an experienced security practitioner who understands how real attackers operate, how security platforms are designed and run at scale, and how modern AI techniques materially change both offensive and defensive capabilities. You will help move the organization beyond theoretical AI risk discussions into practical architectures, controls, and detection strategies that work in production environments. Success in this role means translating emerging AI capabilities and risks into actionable security designs that improve resilience, visibility, and response.</p>
