AWS AI Engineer

Job Description: AWS AI Engineer

Location: New York City, NY (Hybrid Model)

Role Type: Full Time

Role Summary:

We are seeking a talented AWS AI Engineer to join our dynamic team in New York City. The ideal candidate will demonstrate a strong blend of technical skills and industry knowledge, showcasing excellent communication, teamwork, customer service, and leadership qualities. This role requires advanced Generative AI, AWS, and technical skills, along with strong interpersonal abilities to engage effectively with cloud engineering, information security, and line of business teams.

Key Responsibilities:

• Translate Business Requirements: Convert business needs for AI applications into effective AI solutions within AWS.
• Technology Selection: Choose appropriate AWS technologies, considering deployment models and ensuring seamless integration with existing tools.
• Collaboration: Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions.
• Stakeholder Engagement: Gather feedback from diverse stakeholders to ensure that technical implementations align with both current and future AI requirements.
• Risk Mitigation: Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance.
• LLM Operations: Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy AWS AI solutions.
• Tool Development: Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization.
• Security Practices: Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery.

Preferred Qualifications and Skills:

• Experience: Minimum of 5 years in implementing cloud-based AI workloads on AWS, delivering production-grade solutions.
• Education: Bachelor's Degree in Computer Science, Statistics, Data Science, or a related field.
• AI Expertise: Proficient in Generative AI, Deep Learning, Machine Learning, and LLMOps.
• LLM Experience: Hands-on experience in prompting and fine-tuning in GPT-3.5/Turbo, GPT-4/4o is essential; experience with other LLMs is a plus.
• Certifications: Relevant certifications in AI/ML technologies and cloud platforms, such as AWS AI Practitioner. Certification in AWS Solutions Architect and other cloud platforms (e.g., Google Cloud) is a plus.
• Programming Skills: Proficient in one of the following languages: Python, R, Java, or C#.
• CI/CD Tools: Experience with CI/CD tools such as Bitbucket and Terraform is essential.
• Testing Experience: Proven experience in gathering non-functional requirements, designing and validating application architecture frameworks, and executing functional, stress, and performance testing.
• Business Analysis Skills: Strong knowledge of business analysis, requirement gathering, and gap analysis.
• Interpersonal Skills: Excellent communication, presentation, and interpersonal skills.
• Adaptability: A fast learner who is both an individual contributor and a team player, able to work effectively under pressure.

We Can Offer You:

• A highly competitive compensation and benefits package.
• Opportunities within a multinational organization with 55 offices in 20 countries, including potential work abroad.
• Company laptop and mobile phone.
• 10 days of paid annual leave, plus sick leave and national holidays.
• Comprehensive maternity & paternity leave plans.
• Extensive insurance coverage, including medical, dental, vision, life insurance, and short-/long-term disability (plans vary by region).
• Retirement savings plans.
• A robust higher education certification policy.
• Commuter benefits (varies by region).
• Extensive training opportunities focusing on skills, substantive knowledge, and personal development.
• On-demand access to Udemy for Business, featuring over 5000 curated courses.
• Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
• Involvement in cutting-edge projects at the world’s leading tier-one banks, financial institutions, and insurance firms.
• A flat and approachable organizational structure.
• A truly diverse, fun-loving, and global work culture.

SYNECHRON S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law