Job Description

AustralianSuper is the largest superannuation fund in Australia – in the top 20 largest funds globally and top 50 asset owners globally.

With more than US $300 billion in current assets under management, and a world-class investment team, AustralianSuper has the appetite and capability to directly invest in large-scale opportunities.

Our New York office is made up of more than 75 colleagues and is expected to grow significantly over the next few years, so when you join, you become a key part of building our culture.

Your new role

Reporting to the Senior Manager Technology, Americas, the Senior AI & Automation Engineer (Agentic) is a senior hands-on technical specialist responsible for designing, developing, implementing, and supporting AI, automation, and software engineering solutions. The role combines deep technical expertise with practical business understanding to deliver scalable, secure, and supportable solutions that improve operational efficiency, enhance colleague experiences, and enable innovation across the Fund.

The position ensures that AI agents and automation solutions align with the Fund’s processes and comply with its architecture and data standards, governance frameworks, security requirements, risk controls, and regulatory obligations. Working collaboratively with Technology, Data, and Digital colleagues—including architects, engineers, delivery teams, and automation specialists—the role embeds intelligent and autonomous capabilities into enterprise platforms and end-to-end business processes.

The Senior AI & Automation Engineer (Agentic) champions continuous improvement through responsible AI and intelligent automation, reducing manual effort, improving decision-making, increasing operational resilience, and translating AI-driven insights into reliable real-world execution. The role also contributes to the development of reusable standards, patterns, guardrails, and best practices that support safe, scalable, explainable, and maintainable solutions.

The successful applicant will be a highly capable technology specialist with strong expertise in AI, automation, software engineering, and solution delivery. They will combine deep technical knowledge with a practical understanding of business needs to design, implement, and continuously improve scalable solutions. As a senior individual contributor, they will provide technical leadership across complex initiatives, contribute to engineering standards and best practices, and support the responsible adoption of AI and automation capabilities across the Fund.

The successful candidate should bring strong financial markets experience gained within an asset manager, institutional investor, or broker-dealer. Experience supporting public and/or private market investment processes is essential, enabling the role to apply AI and automation solutions within investment and trading contexts.

This is a position based on-site at 1251 Avenues of the Americas, with a hybrid schedule.

Key Responsibilities

Agentic AI and Automation Engineering

• Design, build, maintain, and evolve agentic AI and automation systems that support goal-driven planning, reasoning, autonomous task execution, and the execution of business and technology processes across the Fund.
• Translate complex business problems into agent-based solution architectures, selecting appropriate models, tools, memory strategies, control mechanisms, and automation patterns.
• Develop AI-enabled automation workflows incorporating autonomous decision-making, orchestration, exception handling, adaptive behavior, and safe escalation paths.
• Apply agentic automation patterns to reduce reliance on rigid, rule-based processes and improve resilience across complex workflows.
• Contribute to the definition and evolution of agentic AI and automation standards, patterns, and best practices within the hyperautomation capability.

Architecture, Orchestration, Integration, and Data

• Design and implement agent orchestration using frameworks such as LangChain, Semantic Kernel, or equivalent, enabling scalable and composable agent solutions.
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines so agent behavior is grounded in trusted, approved, and governed knowledge sources.
• Engineer prompts, tool-use patterns, planning strategies, and reasoning approaches to deliver consistent, explainable, and reliable agent outcomes.
• Integrate agentic AI and automation solutions with the Fund’s systems and platforms, including core applications, APIs, digital channels, and data services.
• Work with Technology, Data, and Digital teams, including architects, engineers, delivery squads, Data Engineering, and Data Services, to align solutions with enterprise architecture, security, data quality, lineage, and governance standards.
• Lead solution design activities and provide technical direction for AI, automation, and software engineering solutions, ensuring alignment with enterprise architecture, security, data, and operational standards.
• Provide technical leadership, guidance, and mentoring across AI, automation, and software engineering initiatives, contributing to standards, reusable patterns, and best practices.
• Operationalization, Lifecycle, and Service Excellence Operationalize agentic AI and automation solutions using appropriate DevOps and MLOps practices, ensuring reliability, scalability, maintainability, and operational supportability.
• Own the end-to-end lifecycle of AI agents and automation assets, from development and deployment through evaluation, optimization, retraining, enhancement, support, and retirement or decommissioning.
• Monitor agent and automation behavior for performance, drift, hallucination risk, unintended actions, incidents, and service degradation, implementing mitigation and continuous improvement actions as required.
• Ensure solutions are resilient, observable, fit for purpose, and effectively managed within production environments.

Governance, Risk, and Compliance

• Ensure agentic AI and automation solutions comply with the Fund’s AI and organizational governance frameworks, architectural standards, risk frameworks, security policies, privacy requirements, and regulatory obligations.
• Design and implement controls, guardrails, human-in-the-loop mechanisms, and escalation paths to support safe, responsible, explainable, and auditable autonomous execution.
• Identify and mitigate operational, AI, data privacy, security, and regulatory risks associated with intelligent automation.
• Contribute to audits, assurance activities, and documentation so solutions meet internal and external compliance expectations.

Stakeholder, Vendor, and Capability Engagement

• Collaborate with business, technology, data, and digital stakeholders to understand requirements and identify, assess, and prioritize high-value agentic AI and automation opportunities.
• Lead or contribute to ideation, design, and solution workshops that focus on agent-enabled workflows, intelligent decision systems, and automation outcomes.
• Partner with vendors and service providers to evaluate, implement, and optimize automation and agentic technologies, supporting value for money and alignment with strategic objectives.
• Support AI chapters, centers of excellence, or communities of practice to uplift agentic AI and automation capability and literacy across the Fund.
• Communicate solution designs, outcomes, risks, and opportunities clearly to technical and non-technical audiences.

What we’re looking for

Culture is key at AustralianSuper and we are looking for someone who is a team player that enjoys working in a high performing collaborative team.

Essential:

• 8+ years’ experience in hands-on technical engineering roles within complex enterprise environments, delivering robust, scalable, and supportable solutions.
• Demonstrated experience designing and delivering agentic AI solutions, autonomous workflows, and intelligent automation capabilities, including orchestration, reasoning, planning, memory, tool use, and multi-agent patterns.
• 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, including reasoning, planning, memory, and tool use.
• Experience designing autonomous solutions with appropriate 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.
• Highly developed analytical, problem-solving, conceptual, abstract, and systems-thinking capabilities, with the ability to reason across interconnected technical and business domains.
• Ability to operate autonomously, exercise sound engineering judgment, and make informed decisions in ambiguous and evolving environments.
• High levels of initiative, with the 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, with the ability to build trusted relationships and collaborate effectively with technical and non-technical stakeholders.
• Demonstrated ability to lead complex technical initiatives across the full service lifecycle, including requirements discovery, solution design, implementation, deployment, operational support, continuous improvement, and service management.

Desired:

• Experience applying design thinking principles and/or working within recognized architecture frameworks.
• Experience with Azure services, cloud concepts, and cloud-native solution design within a Microsoft ecosystem.
• Exposure to regulated environments, such as financial services, superannuation, or insurance, and familiarity with AI governance, risk, ethical, privacy, and compliance frameworks.
• Experience working within Agile, Lean, startup, or DevOps delivery models.
• Working knowledge of DevOps and MLOps concepts, including CI/CD, monitoring, and model, agent, or automation lifecycle management.
• Knowledge of ITIL and service management practices, particularly change, release, incident, and operational management.
• Experience with ServiceNow and/or PowerShell scripting.
• Strong interest in emerging technologies, particularly AI, agentic systems, automation, and intelligent platforms.
• Ability to articulate ideas, influence decisions, present opportunities, and contribute effectively within close-knit, cross functional teams.

Pay transparency notice

The compensation range for this position is $200,000 to $230,000 (this is based on full-time hours, located in New York City). The pay offered may vary depending on job related knowledge, skills, and experience and refers to the amount AustralianSuper is willing to pay at the time of posting.

Life at AustralianSuper

At AustralianSuper, we truly care about our colleagues. We know work and life are intertwined, that’s why we support the diverse needs of everyone and have policies that enable us all to thrive and be truly flexible. We ensure diversity is celebrated for the opportunity it provides us all to learn and grow, and ultimately to deliver better outcomes for members.

As we collaborate with colleagues across multiple time zones flexibility in work hours are both a requirement and opportunity for this role.

We offer great benefits, including generous 401(K) matching, health insurance and promote a blended working environment in which all roles can flex, and we’re happy to discuss what this looks like for you.

We are committed to supporting our diverse workforce in a way that is inclusive and embraces diversity in all its forms. If you require any reasonable adjustments to the recruitment process or the role, please let our recruitment team know.

What’s next

Apply now, if you share our values of Energy, Integrity, Generosity of Spirit and Excellent Outcomes and would like the opportunity to work in a challenging, growing and rapidly evolving team to deliver outstanding results.

Progress, powered by purpose

All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws, without regard to race, color, ancestry, sex which includes pregnancy, childbirth, breastfeeding and related medical conditions), sexual orientation, gender identity and/or expression, age, religious belief, national origin, marital status, physical or mental disability, medical condition, genetic information, military or veteran status, or other protected basis, all as defined by applicable laws. We are committed to providing equal employment opportunities for all.

AustralianSuper uses AI to review resumes and conduct initial phone interviews. This involves processing your resume, cover letter, and voice recording in Australia, the UK and the USA to help assess your suitability for the applied role. When invited to an AI phone screening, you may opt for a traditional phone screening instead. For information on how we handle your personal data, please refer to our Candidate Privacy Policy.