Jobs at Provectus

Build and enhance RAG systems, AI components, backend services, data pipelines, and REST APIs under senior guidance. Write production code, tests, evaluation harnesses, documentation, and runbooks. Support AWS deployments, containerized systems, CI/CD, model evaluation, monitoring, and failure-mode investigation. Collaborate on architecture and technical decisions while progressively owning components. The role involves client-facing AI delivery across financial services, insurance, healthcare, and life sciences.

Qualify partner-referred enterprise leads, conduct discovery with financial services and life sciences buyers, scope AI consulting engagements with architects, negotiate proposals and SOWs, and close deals. The role manages the full sales cycle, maintains CRM and forecasts, coordinates with Anthropic and AWS partner representatives, communicates market insights, and requires up to 30% travel.

Own and scale Anthropic and AWS alliances, including partner activation, funding programs, competency requirements, co-selling, account planning, and pipeline growth. Lead the alliances team, build repeatable operating programs, develop executive partner relationships, and collaborate with sales, marketing, and delivery. Expand partnerships with GCP and emerging AI ecosystem companies while tracking competitive alliance positioning. Travel up to 40% for customer and partner activities.

Own and grow strategic Anthropic and AWS alliances, building partner activation, funding, competency, co-sell, and pipeline programs. Lead the alliances team, establish operating processes, develop executive partner relationships, and collaborate with sales, marketing, and delivery. Expand partnerships with GCP and emerging AI providers while maintaining partner tiers and program requirements. The role requires hands-on alliance management, team leadership, enterprise communication, AI ecosystem familiarity, and up to 40% travel.

Qualify enterprise leads, conduct discovery with financial services and life sciences buyers, scope AI consulting engagements with architects, negotiate proposals and SOWs, and close deals. The role manages the full sales cycle, coordinates with AWS and Anthropic partner representatives, maintains CRM and forecasts, and communicates buyer insights to leadership and marketing. Travel up to 30% is required.

Manage inbound enterprise leads and complete the full sales cycle for AI consulting engagements. Qualify prospects, conduct discovery with financial services and life sciences buyers, scope proposals with architects, negotiate contracts, and close signed statements of work. Maintain CRM accuracy, forecast deals, coordinate with AWS and Anthropic partner representatives, and provide market feedback to leadership. Travel for client meetings up to 30% of the time.

Own the full sales cycle for enterprise AI consulting engagements, from qualifying partner-referred leads through discovery, solution scoping, proposal development, negotiation, and signed SOWs. Engage banking, insurance, and life sciences buyers; collaborate with architects and delivery teams; manage partner relationships with AWS and Anthropic; maintain CRM accuracy and forecasts; and provide market feedback. Travel up to 30% for client meetings.

Sell multi-month AI consulting engagements to enterprise clients in financial services, insurance, healthcare, and life sciences. Responsibilities include qualifying partner-referred leads, conducting discovery, scoping solutions with architects, preparing proposals and SOWs, negotiating contracts, closing deals, managing partner relationships, maintaining CRM data, forecasting, and sharing market insights. Travel to client meetings may reach 30% of the time.

Build and deploy production GenAI and LLM systems for financial services and healthcare clients. Responsibilities include understanding business operations, designing AI solutions, developing evaluation suites, delivering cloud-native systems on AWS, supporting enterprise AI adoption, contributing to reusable blueprints, and engaging senior stakeholders in pre-sales and solution scoping. The role requires autonomous ownership from problem framing through production deployment, with hands-on work involving Claude, Claude Code, Cowork, integrations, workflows, and connectors.

Build and deploy production-grade GenAI and agentic systems for enterprise customers. Develop RAG applications, evaluation harnesses, backend services, data pipelines, and cloud-native infrastructure on AWS. Implement LLMOps and AgentOps, including tracing, monitoring, drift detection, cost and latency optimization, and regression testing. Collaborate with forward-deployed engineers and executives, make architectural decisions, document solutions, support client handoffs, and mentor other AI engineers.

Designs and delivers production-grade generative AI, RAG, and agentic systems for enterprise clients. The role combines hands-on software development, cloud-native AWS deployment, evaluation and monitoring, architecture leadership, technical scoping, client engagement, and change management. Engineers work directly with executives and technical teams, own technical outcomes, mentor others, and transfer maintainable systems to clients.

Owns two revenue motions: converting Anthropic- and AWS-sourced enterprise leads into consulting clients and independently building pipeline in Financial Services and Life Sciences. Responsibilities include prospecting, full-cycle enterprise sales, solution scoping, proposal negotiation, closing SOW engagements, managing Anthropic partnerships, coordinating co-sell activities, maintaining joint pipelines, supporting partner certifications and marketing, and collaborating with delivery and architecture teams.

Owns two revenue motions: converting Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently generating new business. Responsibilities include prospecting, full-cycle sales, enterprise relationship development, partner management, co-selling, pipeline reviews, joint go-to-market planning, partner tier maintenance, and proposal scoping for AI consulting engagements. The role targets Financial Services and Life Sciences accounts, requires executive-level communication, and involves up to 30% travel.

Sources and qualifies new business opportunities across North America, builds and manages pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology-services deals. The role targets mid-market and enterprise clients, requires independent business development in services-led environments, and includes approximately 30% travel for conferences, industry events, and client meetings.

Build and deploy production-grade GenAI, RAG, and agentic AI systems for enterprise clients. Responsibilities include understanding client workflows, designing architectures, writing production code, developing evaluation harnesses, deploying cloud-native systems on AWS, monitoring models and agents, optimizing cost and latency, leading technical proposals and architecture reviews, mentoring engineers, and transferring solutions to clients.

Build and ship production generative AI and agentic systems for enterprise customers. Responsibilities include developing RAG applications, evaluation harnesses, backend services, data pipelines, and cloud-native deployments; implementing LLMOps and AgentOps monitoring, tracing, guardrails, drift detection, and cost controls; making architecture decisions; documenting and handing over solutions; and mentoring AI engineers.

Business Development Manager responsible for expanding the AI consulting business across North America. The role focuses on prospecting, qualifying leads, building pipelines, conducting discovery conversations, negotiating with clients, and closing consulting and technology-services opportunities. The successful candidate will independently generate business across multiple verticals, collaborate with leadership, attend industry events and client meetings, and travel approximately 40% of the time.

Build and deploy production-grade generative AI systems for enterprise clients in financial services and healthcare. Embed with customers to understand their workflows, design solutions, write production code, create evaluation systems, and own delivery from strategy through deployment. Work with Claude, AWS, agentic workflows, Cowork, and industry blueprints while advising senior stakeholders, supporting pre-sales, and improving AI delivery frameworks.

Build and deploy production GenAI and LLM systems for financial services and healthcare clients using Claude and AWS. Embed with customers to understand business functions, design solutions, create evaluation suites, and own delivery from strategy through production. Contribute to AI delivery frameworks, blueprints, and enterprise AI adoption while engaging senior stakeholders in pre-sales and technical scoping. The role requires hands-on software engineering, cloud-native delivery, autonomy, and comfort working in ambiguous environments.

Build and deploy production GenAI systems for enterprise clients in financial services and healthcare. Embed with customers to understand business functions, develop AI solutions using Claude and AWS, create evaluation suites, guide adoption from strategy through deployment, and improve reusable blueprints and delivery frameworks. The role requires hands-on software engineering, cloud-native delivery, presales communication, and autonomous ownership in ambiguous environments.