[ASI] AI Solutions Architect
Design end-to-end scalable AI architectures with a focus on Generative AI and agentic systems. Engage in pre-sales activities by translating business requirements into technical proposals and conducting client workshops.
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Design end-to-end scalable AI architectures with a focus on Generative AI and agentic systems. Engage in pre-sales activities by translating business requirements into technical proposals and conducting client workshops.
You will develop and implement comprehensive search strategies that integrate traditional SEO with AI visibility across generative systems like ChatGPT and Perplexity. Additionally, you will manage client accounts, conduct technical audits, and provide high-level strategic consulting to B2B clients.
You will develop and implement comprehensive search strategies that integrate traditional SEO with generative AI visibility for B2B clients. Additionally, you will manage client accounts, conduct technical audits, and provide strategic consulting to stakeholders.
You will develop and implement comprehensive search strategies that integrate traditional SEO with generative AI visibility for B2B clients. Additionally, you will manage client accounts, conduct technical audits, and provide strategic consulting to stakeholders.
You will develop and implement comprehensive search strategies that integrate traditional SEO with AI-driven visibility across generative systems like ChatGPT and Perplexity. Additionally, you will manage client accounts, conduct technical audits, and provide high-level consulting to B2B stakeholders.
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The AI Engineer will build and scale intelligent workflows, RAG systems, and automation tools to improve internal operational efficiency. They will partner with cross-functional teams to implement robust engineering practices and establish a reusable automation ecosystem.
You will design, develop, and optimize Salesforce Agentforce solutions and AI-powered workflows to enhance customer service and membership capabilities. The role involves collaborating with cross-functional teams to implement scalable, secure, and maintainable AI-driven solutions within the Salesforce platform.
The Senior AI Architect will design and develop internal AI frameworks and define technical standards for the organization. They will also provide advanced technical support, conduct code reviews, and lead strategic AI initiatives within the banking sector.
Design and implement a scalable agentic AI framework and centralized platform to support cross-functional AI initiatives. Collaborate with engineering teams to integrate AI agents into applications while ensuring platform reliability, security, and performance.
You will draft, review, and negotiate complex technology and data-related agreements while advising on privacy risks and AI-specific contractual terms. Additionally, you will contribute to the development of scalable legal workflows and playbooks by collaborating with product and engineering teams.
Design, develop, and maintain full-stack application features and services with a focus on AI-powered product experiences. Collaborate with cross-functional teams to ensure system reliability, scalability, and high-performance delivery.
You will design and build end-to-end AI agent features, including RAG and tool-use capabilities, while managing production performance and reliability. Additionally, you will define evaluation strategies for AI outputs and drive model iteration to ensure high-quality, cost-effective system performance.
The Director Analyst will create actionable, thought-provoking research and insights regarding the impact of AI on HR strategy and transformation. They will also serve as a trusted advisor to CHROs and HR leaders, delivering presentations and providing expert guidance on market trends and regulatory environments.
Design, build, and maintain the core data foundation including ingestion, modeling, and data marts to support agency, client, and AI initiatives. Collaborate cross-functionally to translate requirements into data solutions while optimizing pipelines for performance and cost.
Build and scale backend services using Python, Go, or Node.js while contributing to full-stack features with TypeScript and React. Design APIs, real-time pipelines, and distributed systems while collaborating with cross-functional teams to deliver end-to-end solutions.
The AI Engagement Lead manages end-to-end client engagements, bridging the gap between business objectives and technical AI implementation. You will lead discovery workshops, define project success criteria, and ensure solutions are delivered to production while maintaining scope and client satisfaction.
Lead and develop a high-performing team of solution sales and engineering managers to drive the Cloud and AI platform business. You will be responsible for accelerating complex sales opportunities, shaping technology strategies, and fostering a culture of accountability and continuous growth.
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The Data & AI Product Manager will define the product vision, roadmap, and requirements while managing the backlog to deliver measurable business value. They will lead an engineering pod, facilitate agile ceremonies, and collaborate with stakeholders to ensure successful product adoption and governance.
The Senior AI & Automation Engineer will architect and deploy production-grade AI and machine learning systems to improve clinical and operational performance. This role involves leading complex automation initiatives, mentoring junior engineers, and ensuring the scalability and reliability of AI infrastructure within a regulated healthcare environment.
Interns will work on scaling AI models to identify chronic conditions and enhance predictive accuracy using NLP and machine learning. They will also support strategic projects, collaborate with mentors, and deliver a final presentation at the end of the internship.
You will own the operational backbone of a vision AI data program, managing the lifecycle from hypothesis to production-ready outcomes. This involves orchestrating cross-functional teams, managing hardware and annotation vendors, and ensuring data quality and governance standards are met.
The Principal AI Solutions Architect will serve as a strategic bridge between customer goals and AI transformation by designing and operationalizing Genesys AI solutions. They will lead value discovery, define reference architectures, and mentor teams to ensure successful AI adoption and continuous performance improvement.
Design, build, and operate scalable services for marketplace workflows while embedding AI-driven capabilities into features like pricing and automation. Partner with cross-functional teams to translate business needs into durable, scalable technical solutions while maintaining system reliability.
The Senior Director Analyst will create innovative, must-have insights and market predictions to guide software engineering leaders on AI strategy and value realization. They will act as a trusted advisor to clients through virtual and in-person interactions, while supporting sales and research teams with expert market analysis.
The Principal Consultant will define and deploy innovative building design and management strategies to help Autodesk customers leverage digital processes and AI. They will lead transformational change, facilitate customer workshops, and ensure high-quality delivery of consulting services.
The Acquisition Sales Specialist is responsible for prospecting and selling AI-driven legal solutions to new small law firm customers to meet or exceed sales quotas. This role involves managing the full sales cycle, from outbound calls and lead generation to delivering accurate sales forecasts and maintaining client relationships within the CRM.
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The Senior Product Manager will define the strategic direction and roadmap for AI-assisted experiences on the Flow platform. They will act as a connector between engineering, stakeholders, and customers to drive product adoption and deliver measurable impact.
The Applied AI Lead will build and deploy AI solutions to optimize maintenance, service workflows, and operational performance. They are responsible for training field teams and driving the adoption of agentic AI tools across the organization.
The Applied AI Lead will build and deploy AI solutions across the engineering and construction project lifecycle, including estimating, design, and field execution. They are responsible for training project teams on these tools and driving adoption through hands-on support and pilot programs.
The role involves a 50/50 split between developing AI-driven features using Python on GCP and maintaining core platform services with Java and Spring Boot. You will be responsible for shipping LLM-backed products to production and driving AI-assisted development practices across the team.
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