Job Title: Senior AI Engineer

Location: Brisbane, California, United States

Type: Full Time

Our client is looking for a Senior AI Engineer to build scalable GenAI platforms and reusable solutions that accelerate AI innovation across the enterprise.

This is a hands-on engineering role focused on designing shared architectures, frameworks, and components that enable rapid development of AI-powered solutions. The ideal candidate will play a key role in shaping technical standards, supporting delivery teams, and driving adoption of cutting-edge AI technologies in a dynamic, cross-functional environment.

Key Responsibilities

AI Architecture & Reusable Components

Design and develop scalable GenAI architectures, reusable frameworks, and shared components to support multiple AI initiatives.
Build reference implementations and starter kits to accelerate development and deployment of AI solutions.
Establish and apply best practices for LLM-based applications, agent-driven systems, and multi-modal AI use cases.
Continuously enhance reusable assets based on feedback, evolving requirements, and advancements in AI technologies.

Delivery Enablement & Technical Support

Collaborate with cross-functional teams to identify opportunities to improve delivery speed, consistency, and quality using shared solutions.
Provide hands-on support for complex technical challenges, including prototyping and troubleshooting.
Assist delivery teams in implementing scalable and reliable AI solutions aligned with enterprise standards.

Technical Leadership & Mentorship

Guide engineering teams through design reviews, code reviews, and architectural guidance.
Mentor peers to improve technical capabilities and promote best practices in AI engineering.
Clearly communicate technical decisions and trade-offs to both technical and non-technical stakeholders.

Collaboration & Responsible AI

Work closely with stakeholders across multiple business functions to align AI solutions with organizational goals.
Ensure solutions follow enterprise architecture, security, and governance standards.
Promote responsible AI practices, including model evaluation, safety considerations, and compliance.
Support the transition from prototype to scalable, enterprise-ready solutions.

Qualifications & Experience

Bachelor’s degree in Engineering, Computer Science, or a related field.
3+ years of experience in software engineering, AI/ML, or related technical roles.
Proven experience building AI-powered applications and reusable platforms or frameworks.
Strong proficiency in Python.
Hands-on experience with generative AI, context engineering, vector databases, and multi-modal AI systems.
Strong experience with AWS cloud platforms; familiarity with Azure or GCP is a plus.
Experience working with AI platforms such as AWS Bedrock or Azure OpenAI.
Familiarity with DevOps practices, GitHub workflows, and modern development tools.

Preferred Skills

Experience with infrastructure-as-code tools (Terraform, CloudFormation) and data platforms (e.g., Databricks).
Exposure to MLOps practices and application observability tools.
Experience using AI-assisted development tools (e.g., GitHub Copilot, Claude, or similar).
Strong understanding of Agile methodologies and collaborative development practices.

Key Competencies

Strong problem-solving and system design skills.
Excellent communication and stakeholder engagement abilities.
Ability to work in fast-paced, innovation-driven environments.
Passion for leveraging emerging AI technologies to solve complex challenges.