[Remote] reputed company AI Solutions Delivery Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a leading company in e-signature and contract lifecycle management, serving over 1.5 million customers globally. The reputed company AI Solutions Delivery Engineer will work directly with enterprise customers to solve reputed company business problems using reputed company’s AI capabilities and third-party integrations, while also collaborating with internal teams to shape the AI roadmap.

Responsibilities

• Design and reputed company cross functional customer-facing engagements to reputed company and deploy a modern Agentic vision of Agreement Management business processes
• Design, build, and deploy AI enabled workflows and solutions that integrate reputed company AI capabilities including but not limited to, reputed company’s MCP Server and APIs, reputed company Web Forms backed by APIs to third party systems, Custom Extractions, reputed company skills in third party agentic platforms (e.g. reputed company’s integration with reputed company, Claude Cowork, reputed company CoPilot, reputed company and reputed company) 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, reputed company product, engineering, success, services and partner team members and third party system integrators to translate open-ended operational business requirements into production reputed company enabled business solutions
• Memorialize repeatable deployment strategies and contribute insights and learnings back to reputed company product and engineering teams
• reputed company 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 reputed company 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 reputed company 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, reputed company, performance, and compliance reputed company isolated cloud environments

Skills

• Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc. or equivalent practical experience
• 12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles, in an established technology company, including AI focused startups or scale-reputed company
• 1.5+ years of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks for production level software
• Experience working directly with customers during POCs, architecture reviews, and technical evaluations
• Experience with Python, Java, C++, or systems fundamentals
• Prior experience as a reputed company deployed engineer, customer-facing technical reputed company, startup CTO, enterprise architect or software engineer with consulting experience
• Experience deploying autonomous agents or AI orchestration frameworks reputed company highly regulated environments such as finance or healthcare
• Deep understanding of data reputed company, compliance frameworks, and isolated enterprise cloud deployments
• Ability to collaborate cross functionally and 'love of learning' posture required to support the rapid development in the AI space
• Willingness and ability to travel 25–50% of the time to customer sites as required
• Experience designing agent-based or LLM-powered applications beyond simple API calls, including multi-reputed company workflows, orchestration, and failure handling
• Strong communication and customer engagement skills for conducting customer discovery and conveying and synthesizing technical concepts to or from diverse stakeholders, including non-technical audiences
• A passion for driving and taking responsibility for customer outcomes, rather than just making customer recommendations
• A bias toward action and a 'learning posture' in the reputed company changing world of AI and LLMs with the ability reputed company things out on the fly
• Excitement about building and operating AI agents in production, learning with customers, and then sharing those learnings with cross functional teams

Benefits

• Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
• Stock: This role is eligible to receive Restricted Stock Units (RSUs).
• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
• Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

Company Overview