Azure AI Engineer
2 months ago
Our challenge
This resource will be joining Windows team, collaborating with various sectors within infrastructure like Security and Networking to create, launch, and support AI based cloud and hybrid applications. Given the collaborative requirements of this position, it is essential that the candidate possesses advanced Gen AI/Azure/technical skills alongside strong interpersonal abilities. The candidate should demonstrate a strong blend of technical skill and industry knowledge and exhibit excellent communication, teamwork, customer service, and leadership qualities to effectively engage with cloud engineering, Power Platform engineering team, information security, and line of business teams.
Additional Information*
The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $130k - $145k/year & benefits (see below).
The Role
Responsibilities:
- Translate the business requirements for AI applications into viable AI solutions within Azure
- Select appropriate Azure technologies, considering deployment models and their seamless integration with existing tools
- Partner with Enterprise Architecture, Application Development, and Business teams to design pilot projects and develop production-ready solutions
- Gather feedback from diverse stakeholders to ensure that the technical implementation aligns with both current and future AI requirements
- Work closely with security and risk leaders to foresee and mitigate risks, ensuring ethical AI usage and compliance
- Gain an understanding of and contribute to LLM operations, focusing on the infrastructure and operational capabilities required to deploy Azure AI solutions
- Develop tools and capabilities that support data ingestion, feature engineering, data management, and organization
- Integrate security best practices into solutions to facilitate streamlined CI/CD pipelines for deployment and secure software delivery
- Establish the Azure OpenAI service in Microsoft Azure with an architecture tailored to support business teams
Requirements:
You are:
- At least 5 years of experience in implementing cloud-based AI workloads on Azure, delivering production grade solutions
- Bachelor's Degree in any of Computer Science, Statistics, Data Science or a related field
- At least 1 year of experience in implementing Azure OpenAI solutions
- Generative AI, Deep Learning, Machine learning, LLMOps
- LLM Experience in prompting & finetuning in GPT3.5/Turbo, GPT-4/4o is a must. Experience in other LLMs would be a plus.
- Certifications in AI/ML technologies and Cloud platforms, such as Azure AI Engineer Associate (AZ-102)
- Certification in Azure Solutions Architect Expert and other cloud platforms e.g. AWS, Google would be a plus.
- Programing experience in one of the languages - Python, R, Java, C#
- Cloud Services Expertise: Azure OpenAI, Document Intelligence, AI Search, Cosmos DB, App service, Managed Identities, Customer Managed Keys, Azure IaaS and PaaS solutions, Copilot Studio
- Experience in CI/CD Tools Bitbucket, Terraform is a must.
- Experience gathering non-functional requirements, performing designed and validated application architecture frameworks, and executing functional, stress and performance testing
- Strong knowledge of business analysis, requirement gathering, and gap analysis
- Strong communication, presentation, and interpersonal skills
- Fast learner, individual as well as a team player and can work under pressure
- Power Automate development experience would be a plus
We can offer you:
- A highly competitive compensation and benefits package
- A multinational organization with 55 offices in 20 countries and the possibility to work abroad
- Laptop and a mobile phone
- 10 days of paid annual leave (plus sick leave and national holidays)
- Maternity & Paternity leave plans
- A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
- Retirement savings plans
- A higher education certification policy
- Commuter benefits (varies by region)
- Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
- On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
- Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
- Cutting edge projects at the world s leading tier-one banks, financial institutions and insurance firms
- A flat and approachable organization
- 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.
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