Senior AI & Automation Engineer

AustralianSuper

. Design, build, maintain, and evolve agentic AI and automation systems across the Fund .

Posted 11/12/2026full-timeNew York City • New York • United StatesSenior💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing agentic AI and automation solutions, with a strong focus on autonomous workflows, orchestration, and compliance with governance standards. Proven ability to lead technical initiatives and collaborate effectively with diverse stakeholders in complex enterprise environments.

Highest-signal resume keywords

Agentic AI Solutions DesignAutonomous Workflow DevelopmentMicrosoft Power Platform ExpertiseGenerative AI UnderstandingTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI-Enabled AutomationDecision Support SolutionsOrchestration FrameworksRetrieval-Augmented Generation (RAG)Prompt EngineeringDevOps PracticesMLOps PracticesSystems ThinkingData Privacy ComplianceOperational Risk Mitigation

Soft Skills

Analytical Problem-SolvingInterpersonal CommunicationAdaptabilityBusiness AcumenStakeholder Collaboration

Tools & Technologies

LangChainSemantic KernelPower AutomatePower AppsCopilot StudioMicrosoft 365 ServicesAPIsDigital ChannelsData ServicesAutomation Standards

Industry Keywords

Financial MarketsAsset ManagementInstitutional InvestmentBroker-DealerCompliance Documentation

About the role

Key responsibilities & impact

Design, build, maintain, and evolve agentic AI and automation systems across the Fund
Translate complex business problems into agent-based solution architectures
Develop AI-enabled automation workflows with autonomous decision-making, orchestration, exception handling, adaptive behavior, and safe escalation paths
Define and evolve agentic AI and automation standards, patterns, and best practices
Design and implement agent orchestration using frameworks such as LangChain, Semantic Kernel, or equivalent
Build and optimize Retrieval-Augmented Generation (RAG) pipelines
Engineer prompts, tool-use patterns, planning strategies, and reasoning approaches
Integrate AI and automation solutions with core applications, APIs, digital channels, and data services
Align solutions with enterprise architecture, security, data quality, lineage, and governance standards
Lead solution design and provide technical direction for AI, automation, and software engineering solutions
Provide technical leadership, guidance, and mentoring across initiatives
Operationalize solutions using DevOps and MLOps practices
Own the end-to-end lifecycle of AI agents and automation assets
Monitor agent and automation behavior for performance, drift, hallucination risk, unintended actions, incidents, and service degradation
Ensure solutions are resilient, observable, fit for purpose, and supported in production
Implement governance controls, guardrails, human-in-the-loop mechanisms, and escalation paths
Identify and mitigate operational, AI, data privacy, security, and regulatory risks
Contribute to audits, assurance activities, and compliance documentation
Collaborate with business, technology, data, and digital stakeholders to prioritize AI and automation opportunities
Lead or contribute to ideation, design, and solution workshops
Partner with vendors and service providers
Support AI chapters, centers of excellence, or communities of practice
Communicate solution designs, outcomes, risks, and opportunities to technical and non-technical audiences

Requirements

What you’ll need

8+ years’ experience in hands-on technical engineering roles within complex enterprise environments
Demonstrated experience designing and delivering agentic AI solutions, autonomous workflows, and intelligent automation capabilities
Tertiary qualification in Computer Science, Engineering, Data Science, or a related discipline, or equivalent practical industry experience
Demonstrated experience designing, building, delivering, and supporting AI-enabled, intelligent automation, or decision support solutions end-to-end in enterprise settings
Practical experience with agentic AI systems, autonomous workflows, goal-driven decision architectures, orchestration, and adaptive automation patterns
Strong conceptual understanding of Generative AI, large language models, and agent-based system design
Experience designing autonomous solutions with guardrails, controls, human-in-the-loop mechanisms, and escalation paths
Strong experience with Microsoft Power Platform, including Power Automate, Power Apps, Copilot Studio, Microsoft 365 services, and related AI and automation technologies
Proven ability to own complex technical problems through problem definition, requirements, design, implementation, deployment, optimization, and operational support
Strong analytical, problem-solving, conceptual, abstract, and systems-thinking capabilities
Ability to operate autonomously and exercise sound engineering judgment in ambiguous and evolving environments
Ability to manage multiple concurrent priorities and deliver outcomes under competing demands
Strong business acumen and understanding of complex enterprise operational contexts
Excellent interpersonal, written, and verbal communication skills
Demonstrated ability to lead complex technical initiatives across the full service lifecycle
Strong financial markets experience within an asset manager, institutional investor, or broker-dealer
Experience supporting public and/or private market investment processes
Ability to work flexible hours across multiple time zones

Benefits

Comp & perks

Generous 401(K) matching
Health insurance
Blended working environment in which all roles can flex
Flexible work hours
Reasonable adjustments to the recruitment process or the role
Option to choose a traditional phone screening instead of AI phone screening