AWS Senior Cloud & ML Engineering Associate Director

<h3>Accountabilities</h3><li>
<strong>Lead AWS cloud architecture and implementation:</strong>Own the architecture, technical direction, and delivery outcomes of complex cloud engineering engagements, translating business requirements into actionable implementation plans.</li><li>
<strong>Drive machine learning and AI integration:</strong>Bridge data science research and production-grade AWS deployments, enabling faster experimentation, reliable ML infrastructure, and scalable AI solutions.</li><li>
<strong>Design secure and resilient cloud environments:</strong>Make architecture decisions covering networking, identity and access management, security, automation, observability, resilience, compliance, and AWS Well-Architected principles.</li><li>
<strong>Oversee technical delivery and risk management:</strong>Manage critical dependencies, identify and mitigate technical risks, resolve complex engineering challenges, and ensure high-quality project outcomes.</li><li>
<strong>Develop cloud engineering standards:</strong>Create reusable reference architectures, implementation patterns, technical frameworks, and delivery standards to improve consistency, efficiency, and maintainability.</li><li>
<strong>Lead and mentor technical teams:</strong>Guide cloud engineers and cross-functional specialists, review architecture decisions and critical deliverables, and support professional development through coaching and knowledge sharing.</li><li>
<strong>Strengthen client relationships:</strong>Provide strategic technical guidance to client technology leaders, build trusted partnerships, and identify opportunities to improve cloud capabilities and address evolving business needs.</li><li>
<strong>Support business development:</strong>Contribute to client proposals, solution design, engagement scoping, and growth strategies while identifying relevant opportunities for additional services.</li><li>
<strong>Ensure operational readiness:</strong>Facilitate sustainable transitions to ongoing operations and continuously improve architecture, security, reliability, automation, and operating models.</li><h2>Requirements</h2><li>
<strong>Education:</strong>Bachelor's degree in Management Information Systems, Information Systems, Computer Science, or a related discipline.</li><li>
<strong>Professional experience:</strong>At least seven years of experience in professional services or industry, including a minimum of five years of hands-on AWS experience across multiple service domains.</li><li>
<strong>Cloud architecture expertise:</strong>Strong experience designing and implementing AWS solutions across networking, identity, security, automation, resilience, observability, and cloud governance.</li><li>
<strong>Python development:</strong>Strong Python programming skills, with demonstrated ability to produce maintainable, reliable, production-quality code.</li><li>
<strong>Machine learning lifecycle:</strong>Familiarity with ML lifecycle and deployment tools such as Amazon SageMaker, MLflow, or equivalent technologies.</li><li>
<strong>Agentic AI experience:</strong>Experience with agentic AI frameworks and managed agent runtimes, including Amazon Bedrock Agents, AgentCore, or comparable solutions.</li><li>
<strong>Cross-functional collaboration:</strong>Experience working alongside data science and platform engineering teams to move technical concepts and research into production-ready solutions.</li><li>
<strong>Required certifications:</strong>AWS Certified Solutions Architect – Associate and AWS Certified Generative AI Developer.</li><li>
<strong>Preferred certifications:</strong>AWS Certified Solutions Architect – Professional, AWS Certified Machine Learning – Specialty, or AWS Certified DevOps Engineer.</li><li>
<strong>Technical leadership:</strong>Demonstrated ability to guide engineering teams, review complex technical deliverables, make architecture decisions, and resolve challenging delivery issues.</li><li>
<strong>Communication and stakeholder management:</strong>Strong interpersonal and communication skills, with the ability to explain complex technical concepts, influence senior stakeholders, and build lasting client relationships.</li><li>
<strong>Project and risk management:</strong>Ability to manage competing priorities, oversee technical dependencies, anticipate delivery risks, and maintain high standards of quality and operational readiness.</li><li>
<strong>Professional mindset:</strong>A proactive, analytical, and collaborative approach, with a commitment to continuous learning, mentoring, innovation, and business development.</li><li>
<strong>Location and mobility:</strong>Willingness to work in a hybrid environment and travel to client sites when required by project needs.</li><h2>Benefits</h2><li>
<strong>Competitive base salary:</strong>$153,000–$260,000 per year, depending on experience, skills, and geographic location.</li><li>
<strong>Performance-based incentives:</strong>Target bonus opportunity of 16%, with estimated total cash compensation ranging from $177,480 to $301,600 annually. Incentive compensation is subject to eligibility and applicable plan terms.</li><li>
<strong>Comprehensive healthcare:</strong>Medical, dental, and vision insurance, along with flexible spending accounts (FSA), health savings accounts (HSA), or other eligible healthcare spending arrangements.</li><li>
<strong>Financial protection:</strong>Life and accidental death and dismemberment insurance, short- and long-term disability coverage, and other eligible insurance benefits.</li><li>
<strong>Retirement savings:</strong>A 401(k) savings and investment plan with an employer match of 50% on the first 6% of employee contributions.</li><li>
<strong>Paid time off:</strong>Choice Time Off for vacation, personal needs, and sick time, with new hires receiving up to 20 days per calendar year, depending on applicable terms and eligibility.</li><li>
<strong>Paid holidays:</strong>Up to 11 recognized paid holidays each calendar year.</li><li>
<strong>Family support:</strong>Paid parental leave of up to 10 weeks, as well as adoption and fertility assistance.</li><li>
<strong>Professional growth:</strong>Opportunities to mentor technical teams, expand expertise in cloud and AI engineering, develop reusable solutions, and contribute to strategic client engagements.</li><li>
<strong>Collaborative culture:</strong>An environment focused on innovation, inclusion, teamwork, continuous learning, and meaningful client impact.</li>