Jobs at 3Pillar Global

Forward Deployed AI Engineer

Responsibilities

Embed on-site or in tight virtual proximity with client teams for the life of the engagement, and identify the highest-leverage workflow to build first, then the next.

Build, test, and harden production-grade integrations (APIs, MCP connectors, dat...

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services...

• Leadership skills
• Mentoring and coaching abilities

• Act as the emissary of the architecture.
• Technical owner from design to resolution of tailored solutions to sophisticated problems on cloud platforms based on client requirements and other constraints.

• Define end-to-end architecture for AI/ML and Gen AI, Agentic AI, MCP systems including data pipelines, model training/inference, and MLOps.
• Serve as a strategic advisor / consultant to clients, leading solution design discussions, presenting AI/ML architectures, and representing 3Pillar in client-facing interactions to drive innovation and business value.

• Own the end-to-end architecture, from target-state design and decision records to a successful launch, balancing performance, scalability, security, testability, and cost.
• Lead the modernization of legacy platforms into the new architecture, defining the migration boundary, cutover strategy, and parity checks so delivery continues throughout.

• Own the end-to-end architecture, from target-state design and decision records to a successful launch, balancing performance, scalability, security, testability, and cost.
• Lead the modernization of legacy platforms into the new architecture, defining the migration boundary, cutover strategy, and parity checks so delivery continues throughout.

• Understanding of product roadmap, business goals, and customer needs
• Ability to prioritize testing efforts based on business impact

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services...

• • Build production AI agents end to end: discovery with the process owner, design, prompt and tool engineering, testing, deployment and ongoing operation.
• • Collaborate with stakeholders, including business owners, product managers, architects and software engineers, to identify business problems that can be solved with Gen AI and Agentic AI.

• Facilitate effective communication with client project stakeholders regarding project status and recommendations.
• Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality.

• Define and maintain enterprise Tableau architecture, standards, and best practices.
• Design scalable analytics solutions leveraging Tableau Cloud/Server, Tableau Prep, and related Tableau ecosystem tools.

• Define and maintain enterprise Tableau architecture, standards, and best practices.
• Design scalable analytics solutions leveraging Tableau Cloud/Server, Tableau Prep, and related Tableau ecosystem tools.

• Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.
• Build and optimize high-volume ingest pipelines in Go, including concurrency design, buffering, back-pressure, and retry semantics.

• Actively contribute in agile project teams during scrums, sprint planning, code reviews
• Develop, maintain, and integrate software systems and applications.

• Independently guide the technical direction and implementation by the whole team within defined architecture, in all stages from conceptualization to deployment.
• Own the target architecture for data services: capture of the incoming telemetry stream, contextualization against CMDB and other sources of record, data modeling, and exposure through APIs and telemetry feeds.

• Design and build the architecture that embeds AI agents across the SDLC — requirements gathering, code generation, testing, documentation, and release management.
• Set technical standards for where AI-assisted approaches are trustworthy versus where human-in-the-loop oversight is required to protect quality, compliance, and client trust.

• Facilitate effective communication with client project stakeholders regarding project status and recommendations.
• Craft client code that is not just efficient but also performant, testable, scalable, secure, and of the highest quality.