AI Infrastructure Lead

Apex Group Ltd; Boston (MA); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Dynamic and fast-paced team

Exposure to all business aspects

Training and development opportunities

Inclusive culture

Job summary

Apex Group Ltd is seeking an ambitious AI Infrastructure Lead to join its leadership team in Boston. This senior role focuses on scaling AI and ML systems and ensuring operational excellence within a regulated environment. Responsibilities include building secure platforms, designing MLOps stacks, and establishing scalable AI runtime environments.

The ideal candidate possesses proven leadership in AI platform design and expertise in MLOps strategy, making a significant impact on the organization's technological advancement.

Qualifications

• Proven leadership in designing scalable, cloud-native or hybrid AI/ML platforms.
• Deep expertise in MLOps strategy, including end-to-end pipelines.
• Hands-on experience with model deployment across varied environments.

Responsibilities

• Establish a scalable AI runtime environment for rapid prototyping.
• Design and implement a robust MLOps stack with CI/CD pipelines.
• Build secure AI architectures aligned with governance frameworks.

Skills

Leadership in AI/ML platform design

MLOps strategy and execution

Model deployment and runtime management

Monitoring and observability

Regulatory compliance knowledge

Tools

MLflow

SageMaker

Databricks

Job description

We are seeking an ambitious and visionary AI Infrastructure Lead to join our leadership team and play a critical role in scaling the infrastructure, tooling, and deployment capabilities for AI and ML systems across the Apex Group. Reporting directly to the Chief AI and Data Science Officer, this is a senior strategic appointment with global scope. The successful candidate will be responsible for building secure, scalable, and compliant platforms to accelerate AI innovation and ensure operational excellence in a highly regulated financial services environment.

Key Responsibilities

• Establish a scalable AI runtime environment to support rapid prototyping and early deployment of LLM agents and agentic workflows.
• Design and implement a robust MLOps stack with model versioning, CI/CD pipelines, and automated monitoring for operational resilience.
• Build secure, compliant AI development and deployment architectures while aligning with AI governance framework.
• Collaborate cross-functionally to ensure infrastructure meets the evolving needs.

Required Skills and Qualifications

• Proven leadership in designing scalable, cloud-native or hybrid AI/ML platforms that support experimentation and secure enterprise deployment.
• Deep expertise in MLOps strategy and execution, including end-to-end pipelines, CI/CD, model versioning, and retraining workflows.
• Hands‑on experience with model deployment and runtime management across varied environments (batch, real‑time, REST, edge), using tools like MLflow, SageMaker, Databricks, or other equivalent.
• Strong background in monitoring, observability, and incident response — including drift detection, fairness tracking, latency alerts, and recovery protocols.
• Skilled in building secure, compliant AI infrastructure aligned with regulatory standards (e.g., GDPR, EU AI Act).

Preferred Personal Attributes

• Strategic thinker with strong operational and technical execution capabilities.
• Passionate about responsible AI, platform resilience, and infrastructure innovation.
• Comfortable working in high‑ambiguity, fast‑paced startup‑like environments.
• Collaborative leader with strong interpersonal and communication skills.
• High integrity, accountability, and a commitment to ethical technology adoption.

Benefits

• Be part of a dynamic and fast‑paced team that makes a genuine impact on the success of the entire organisation.
• Opportunity to work with a diverse, agile, and global team.
• Exposure to all aspects of the business, cross‑jurisdiction.
• A genuinely unique opportunity to be part of an expanding large global business.
• Competitive remuneration in line with skills and experience.
• Training and development opportunities.
• We pride ourselves in our commitment to fostering a connected and inclusive culture; all opportunities at Apex require four (4) days in office.

Salary ranges from USD $225,000 – USD $275,000. Compensation within this range is dependent on individual's skills, experience and qualifications.

Equal Opportunity Employer

We are an equal opportunity employer and ensure that no applicant is subject to less favourable treatment on the grounds of gender, gender identity, marital status, race, colour, nationality, ethnicity, age, sexual orientation, socio‑economic, responsibilities for dependants, physical or mental disability. Any hiring decision is made on the basis of skills, qualifications and experiences.