Solutions Engineer (AI)

Location: APAC; Singapore, Central, Singapore

Company

AlphaSense provides an AI-powered market intelligence and workflow orchestration platform built on more than 500 million business documents, including research, filings, news, expert interviews, and proprietary content.

What you will do

• Lead technical discovery with enterprise engineering, data, and business stakeholders; map architecture, authentication requirements, and Enterprise Suite use cases.
• Partner with Account Executives, Implementation, and Account Managers across new deals, rollouts, and existing accounts.
• Own proofs of concept and trials, demonstrating how the Enterprise Suite fits client workflows and supporting evaluations through close.
• Guide clients from signed contract to production, including GraphQL authentication, cloud deployment, SSO, and SCIM provisioning.
• Manage technical ownership for a portfolio of accounts, expand Enterprise Suite adoption, and resolve authentication, credential, and licensing escalations.
• Build scripts and internal tools for scalable support and implementation workflows, and convert field patterns into feedback for Engineering and Product.

Requirements

• 5+ years of experience in a client-facing technical role such as solutions engineering, solutions architecture, or sales engineering with large enterprise clients.
• Ability to conduct open-ended discovery, ask insightful questions, and translate technical details for business stakeholders.
• Hands-on engineering experience, including software engineering or projects demonstrating the ability to write and debug code.
• Understanding of REST or GraphQL APIs; identity protocols including OAuth 2.0, SAML, and SCIM; and at least one cloud platform: AWS, Google Cloud, or Microsoft Azure.
• Ability to work independently with clients and solve new problems in ambiguous, high-growth environments while playbooks and enablement are still being built.
• Strong preference for experience selling to or performing Analyst roles in Banking, Asset Management, Private Markets, or corporate and consulting teams in complex enterprise environments.

Nice to have

• Degree in computer science or a related technical field.
• Experience with MCP, LLM-based workflows, or AI agents.

Culture & Benefits

• Work in a global Enterprise Solutions Engineering team supporting enterprise customers from evaluation through implementation and ongoing account support.
• Join a high-growth environment where playbooks and enablement are still being developed.
• Equal-opportunity workplace committed to respecting and supporting all individuals.
• Reasonable accommodation is provided to qualified employees with protected disabilities where required by applicable law.