Role Overview:

We are seeking a forward-looking Architect to design, build, and scale next-generation applications leveraging cloud-native architectures, AI/ML capabilities, and modern engineering practices.

The individual owns technical decisions and direction for their portfolio, driving the design of cloud-native solutions that incorporate AI/ML capabilities and modern engineering practices. Designs applications and platforms required to automate business processes and meet business needs as integrated solutions that may run on multiple platforms and be composed of multiple software packages and custom components. Assumes overall technical responsibility for the success of solution construction, implementation, and system integration.

Key Responsibilities:

- Architectural Design: Develop and maintain architectural blueprints for software solutions, ensuring alignment with business goals and technical standards.

- Cloud Integration: Leverage AWS services to design and implement cloud-based solutions, including EC2, S3, Lambda, RDS, ROSA and more.

- AI Architecture: Define AI/ML architectural patterns and guardrails for the portfolio, including evaluation and selection of GenAI platforms, LLM integration approaches, and agentic frameworks.

- AI-Assisted Development: Drive adoption of AI-assisted development practices and tooling across engineering teams.

- Engineering Excellence: Lead and model high-quality software development practices, ensuring code quality and best practices across assigned projects.

- Technical Leadership: Provide guidance and mentorship to development teams, fostering a culture of innovation and excellence.

- Collaboration: Work closely with cross-functional teams, including product managers, developers, and operations, to define business needs and ensure seamless integration and delivery of software solutions.

- Performance Optimization: Identify and address performance bottlenecks, ensuring applications run efficiently at scale.

- Security: Implement security best practices to protect data and applications, including encryption, access controls, and compliance with industry standards.

- Documentation: Create comprehensive documentation for architectural designs, development processes, and operational procedures.

- Keeping abreast of, recommending and driving new technologies towards implementation and adoption.

Minimum Qualifications:

- 12+ years of experience in end-to-end application development, with a strong focus on designing, building, and deploying scalable solutions on AWS Cloud.

- 2+ years of experience in Software Architecture, leading system design, defining architectural standards, and driving technology strategy for enterprise applications.

- Experience with the architecture and design of enterprise software solutions, applications, integrations, security and platform engineering is required.

- Demonstrated ability to mentor and develop staff Software Engineers with best practices and leadership.

- Experience defining and maintaining accountability to Architectural Design Patterns and serving as a technology domains escalation point.

- Experience architecting solutions that incorporate AI/ML or GenAI capabilities, including LLM integration, agentic workflows, or AI-powered features.

- Familiarity with AWS AI/ML services at a design and evaluation level, including Bedrock, SageMaker, and AgentCore.

- Proficiency in AWS cloud services (EC2, S3, Lambda, RDS, etc.).

- Experience with infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.

- Experience with microservices architecture and containerization (Docker, Kubernetes).

- Familiarity with CI/CD pipelines and DevOps practices.

- Highly proficient with leading Agile methodologies, DevOps principles, practices and tools in an enterprise technology environment is required.

- Expertise in Application Security principles and 12-factor application development principles.

- Excellent problem-solving and analytical skills.

- Strong communication and interpersonal skills.

- Ability to work collaboratively in a fast-paced environment.

- Execute with a Sense of Urgency.

- Consistently prioritizes safety and security of self, others, and personal data.

- Embraces diverse people, thinking, and styles.

Behavioural Competencies:

- Demonstrates strong ownership and accountability while fostering a collaborative, solution-oriented team culture.

- Communicates with clarity and influence, builds trust, and engages effectively with diverse stakeholders across teams and geographies.

- Continuously learns and adapts, embracing new ideas, emerging technologies, and innovative approaches to improve ways of working.

- Shows curiosity about business needs and customer priorities, aligning behaviors and decisions to deliver meaningful outcomes.

Preferred Qualifications:

- Bachelors degree in computer science, Information Systems or related technical field is preferred.

- Experience working in an airline technology environment is preferred.

- AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer Professional.

- Advanced knowledge of Java or another enterprise programming language and frameworks.

- Experience working with agentic frameworks such as AWS Strands, Google ADK, LangChain, or LangGraph.

- Experience designing MCP-based integrations to connect AI agents with enterprise tools and data sources.

- Familiarity with prompt engineering principles, RAG architectures, or multi-agent orchestration patterns.