The AI & Analytics – Service Line Sales Specialist role is an incredible opportunity to be at the forefront of the AI revolution and collaborate on driving Gemini Enterprise related growth!
Compensation
The annual salary for this position is between $ 90,000 - $ 190,000 depending on experience and other qualifications of the successful candidate.
Responsibilities
Forge Client relationships with executive decision makers across IT and business teams face to face especially with responsibilities for Agentic System and solutions buildout.
Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for transforming business workflows using Agentic AI.
Run end-to-end lead generation, sales, and RFI/RFP processes for specific solutions in a multi technology, multi skill and service line environments for the achievement of sales target.
Counsel account leadership and delivery leadership on Agentic Transformation opportunities in each industry (Banking, Retail Consumer Goods, Insurance, Comms Media, Healthcare, Manufacturing, Life Sciences).
Work closely with Google alliance and solution architecture team to drive the latest Google Gemini capabilities in the client pursuits and solutions.
Lead the design, operation, and expansion of BDC’s Mission AI platform, building and managing a small AI development team while driving technical strategy and vendor relationships.
Responsibilities
Define AI architecture and technology roadmap
Deliver platform milestones from MVP to nationwide rollout
Design, govern, and scale Agentic AI solutions that drive measurable productivity improvements across HR, Finance, Sales, Services, and Employee Experience functions.
Responsibilities
Define the enterprise architecture for Agentic AI platforms
Design scalable architectures for multi‑agent systems
Establish reference architectures, patterns, and guardrails for AI productivity use cases
Align AI architecture with enterprise IT, data, security, and cloud strategies
Lead AI solution design for enterprise productivity across HR, Finance, Sales, Services and Employee Experience
Requirements
Nice to have: AI productivity transformations at enterprise scale
Global GTM Practice Architect for Agentic Data Cloud within Google Cloud, responsible for owning global strategy and business goals, driving GTM motion, and partnering with cross‑functional teams.
Lead strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
Compensation
The base salary for this position is $92,250 to $140,000 plus incentives that align with individual and company performance.
Responsibilities
Serve as the primary technical delivery lead for strategic enterprise initiatives across AI Governance, Responsible AI, Cybersecurity, Data Security, Agentic AI, and Forward Deployed Engineering.
Embed with customer teams to assess business processes, operating models, architecture, security posture, and AI readiness.
Translate complex business problems into scalable engineering solutions, roadmaps, and implementation plans.
Own delivery from strategy and architecture through engineering, deployment, adoption, and value realization.
Accelerate client outcomes by driving production-ready MVPs and scalable enterprise solutions.
Define and own the end-to-end target architecture and technical roadmap for the next-generation remote instrument monitoring platform focusing on Cloud, IoT, and AI-driven platforms.
Responsibilities
Define and own the end-to-end target architecture and technical roadmap for the next-generation remote instrument monitoring platform.
Design a scalable, modular, cloud-native architecture comprising Application, Transport, and Processing layers.
Establish architectural principles, integration patterns, interface contracts, versioning strategies, and ownership boundaries across engineering teams.
Ensure the platform supports onboarding additional applications and AI agents without requiring significant architectural redesign.
Evaluate technology choices, build-versus-buy decisions, architectural trade-offs, and modernization strategies.
Lead the design and implementation of an enterprise-scale Generative AI conversational platform for the hospitality industry, focusing on AI architecture, enterprise systems integration, and GenAI engineering.
Responsibilities
Architect enterprise conversational AI solutions using LLMs, RAG, agentic workflows, tool/function calling, APIs, and knowledge retrieval systems.
Lead the design and implementation of an enterprise-scale Generative AI conversational platform for the hospitality industry, combining expertise in AI architecture, enterprise systems integration, and GenAI engineering.
Responsibilities
Architect conversational AI solutions using LLMs, RAG, agentic workflows, tool/function calling, APIs, and knowledge retrieval systems.
AI Agentic Sales LeadNewCognizant · Remote
IT Engineer,Software,EntryNewKeysight · Gurgaon, India
Practice ArchitectGoogle · Sunnyvale, US+3 more
AI Technical Delivery Manager (AI Governance)CNX · Bellevue, US
Enterprise Account ExecutiveRiderflex · US