AIMl Engineer

Primary Responsibilities:

• Lead the design, development, and deployment of AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency
• Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities
• Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions
• Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption
• Serve as a transformation catalyst by evaluating disruptive technologies, driving innovation pilots, and building strategic capabilities that position the organization for future-state digital operations
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Qualifications - External

Required Qualifications:

• Bachelors or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline
• 6+ years of experience in software engineering, AI/ML, automation, cloud engineering, or digital transformation, with a demonstrated track record of delivering enterprise-scale solutions
• Hands-on experience designing and deploying Generative AI, Agentic AI, LLM-based applications, intelligent agents, digital workers, automation platforms, or advanced analytics solutions
• Experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes
• Solid proficiency in Python, APIs, microservices, cloud-native architectures, and modern software engineering practices including CI/CD, DevSecOps, and observability
• Demonstrated ability to lead technical workstreams, mentor engineers, drive solution design decisions, and influence adoption of innovative technologies across teams
• Solid understanding of AI governance, Responsible AI, security, privacy, compliance, and risk management requirements in regulated enterprise environments