Job Description

eGroup Enabling Technologies, a technology solutions provider with clients throughout the nation, and ambitions to become a recognized, nationwide, corporate household name for the delivery of speed and certainty with digital transformation, wants you as our Senior Azure AI Engineer.

As one of our senior artificial intelligence engineers, you will bring a blend of technical and consultation experience, delivering professional services work to support our customers on their AI journeys. You’ll have a passion for problem solving and an ability to effectively articulate the business value of integrating artificial intelligence into business processes. You will be working remotely with clients of various seniorities and operational maturities, meeting them where they are, and delivering professional technical services to achieve client business goals through the optimization, modernization, and transformation of their business functions. You will have the benefit of collaborating with internal team members and working with our clients to identify, justify, and design AI solutions to improve business processes, productivity, and business insights.

This position is remote and can be located anywhere in the continental US.

Career Growth:

The Senior AI Engineer will interact and engage with many customer situations which provide an opportunity to broaden exposure and expedite your mastery of the constantly evolving AI technology landscape. This role is an excellent fit for an individual who has a demonstrated track record of success and is committed to delivering exceptional customer solutions and experiences.

Job Responsibilities

Reporting to the Data, AI & Power Platform Practice Leader, you will:

· Assume direct responsibility for the requirements gathering, design and architecture, and delivery of solutions for our customers.

· Design, build and implement scalable AI solutions using various Microsoft AI technologies including Copilot Studio and Azure AI services (OpenAI, AI Language, AI Vision, Machine Learning, Document Intelligence and more).

· Conduct research and testing to develop machine learning algorithms and predictive models.

· Collaborate with other data engineers, analysts, and stakeholders to understand business requirements and deliver quality AI solutions.

· Communicate effectively with clients and team members in both written and verbal methods.

· Participate in sales calls to help uncover client AI needs and elaborate on the art of the possible.

· Provide technical guidance and mentorship to junior AI engineers.

· Identify new areas of business opportunity and product development using the Azure AI platform to develop repeatable and scalable solutions.

· Contribute to the development and maintenance of eGroup’s AI Delivery Playbook.

· Stay up to date with the latest advancements in AI technologies and evaluate their applicability to client projects.

Qualifications

· At least 5 years of experience using Azure tools and services to design, build and implement Azure AI solutions.

· At least 10 years of overall experience in implementing technology solutions for companies of varying size.

· Proficient in developing and implementing AI models and algorithms.

· Expertise in data modeling and engineering, big data analysis, machine learning models, AI and ML services, AI deployment and DevOps, and AI security.

· Ability to utilize big data computation and storage tools to create prototypes and datasets, conduct model training and evaluation, integrate, test, tune, and monitor solutions, and articulate and document the solutions architecture and lessons learned.

· Foundation in programming languages such as Python, C#, and C .

· Proven track record in adaptability, teamwork, and problem solving.

· Proficient in critical thinking and problem-solving skills.

· Consulting experience or comparable industry experience is a plus.

· Willing to join a team that functions like a start up inside of a larger established organization.

· Thrives in ambiguity and is self-motivated and proactive in solving problems.

· Comfort working within various development methodologies including Agile and Waterfall.

· Team player and strong collaboration skills.

· Great communicator and confident when speaking with clients ranging from fellow engineers to executive team members.

· Preferred: Azure, AI, Data certifications.