Top Tech Jobs & Startup Jobs in Toronto

Build and deploy production generative AI and LLM systems for financial services and healthcare clients. Embed with client teams to understand business operations, design AI solutions, create evaluation suites, and deliver cloud-native systems on AWS. Lead engagements from strategy through deployment, contribute to AI tooling and blueprints, advise senior stakeholders, and support pre-sales. Work hands-on with Claude, Claude Code, Cowork, integrations, and production engineering practices.

Owns partner-sourced and self-generated enterprise sales for AI consulting engagements. Responsibilities include prospecting in Financial Services and Life Sciences, managing Anthropic and AWS partner relationships, qualifying leads, running discovery through contract close, developing joint pipelines, leading business reviews, supporting co-marketing, and collaborating with architects on consulting proposals. The role requires executive-level communication, full-cycle enterprise selling, partner ecosystem development, and up to 30% travel.

Drive partner-sourced and outbound enterprise business development across Financial Services and Life Sciences. Qualify leads, conduct discovery, scope AI consulting opportunities, manage proposals and signed SOWs, maintain partner pipelines, and build relationships with AWS and Anthropic field teams. Collaborate with architects and delivery leaders, support co-selling and partner programs, and develop an enterprise client network. The role offers a path toward full-cycle enterprise sales ownership.

Own partner-sourced and self-generated enterprise sales motions for AI consulting services. Manage Anthropic and AWS relationships, qualify leads, run full sales cycles, prospect within Financial Services and Life Sciences, close consulting engagements, maintain joint pipelines, lead co-sell planning, support partner certifications and marketing, and collaborate with delivery teams on proposals. Build executive relationships and provide market intelligence to leadership.

Owns two revenue motions: converting Anthropic and AWS partner-sourced enterprise leads into consulting clients and independently generating new business in Financial Services and Life Sciences. Responsibilities include full-cycle sales, partner relationship management, co-selling, pipeline reviews, joint go-to-market planning, executive engagement, proposal scoping, negotiations, and closing consulting statements of work. The role also requires building an enterprise decision-maker network and collaborating with delivery, architecture, leadership, and marketing teams.

Sources and qualifies new business opportunities across North America, builds sales pipelines, conducts outbound prospecting, leads discovery conversations, and partners with leadership to close consulting and technology services deals. The role focuses on selling AI and cloud solutions to mid-market and enterprise clients, requires independent prospecting and negotiation skills, and includes attendance at industry events and client meetings with approximately 40% travel.

Build and deploy production GenAI systems, agentic workflows, retrieval pipelines, and data services for enterprise customers. Learn operational domains firsthand, redesign business processes, create evaluation harnesses, write production Python or TypeScript, and deliver observable AWS-based systems. Partner with executives, engineers, and operators to drive adoption and measurable business outcomes while contributing reusable industry blueprints.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Own partner-sourced and self-sourced enterprise sales motions: convert Anthropic/AWS partner leads to signed SOWs, prospect new logos in Financial Services and Life Sciences, run full sales cycles, maintain joint pipelines and co-sell activities, and coordinate with delivery and architecture teams to scope consulting engagements.

Build and deploy production GenAI and LLM systems for enterprise clients in financial services and healthcare. Embed with customers to understand operational needs, design AI solutions, own implementation from strategy through deployment, develop evaluation suites, and improve reusable industry blueprints. Advise senior stakeholders, contribute to pre-sales, and help shape AI delivery tooling and frameworks using Claude, AWS, Python, and TypeScript.