Senior AI Engineer

At NAVISITE - Part of Accenture, celebrating our employees and investing in their well-being and development is not just a priority or an initiative - it's woven directly into our company fabric. Our mantra and unofficial corporate hashtag #SoMuchGood is all about recognizing our team's commitment and achievements, both inside and outside the office. It's that theme that has driven a host of programs at Navisite - it's who we are. What we do is simple: We work hard, we have fun, we give back to the community and we never take our eye off the goal - creating a modern cloud MSP with a global, talented team of employees. Join us and be part of our team!!

Senior AI Engineer:

As a Senior AI Engineer, you will play a crucial role in driving the growth of our custom AI solutions practice. You will provide exceptional vision towards defining and building AI-enabled solutions for the Cloud. You will draw from your deep expertise in AI techniques, methods and tools, as well as your expertise in cloud application development, to define and deliver AI solutions from pre-sales solutioning through go-live and beyond.

You will be a technical leader and trusted advisor working directly with customers, leveraging your expertise to understand their needs and to architect and deliver innovative AI solutions that deliver real-world impact. You will provide technical leadership to multiple projects while guiding, mentoring and building team capabilities. You will leverage best practices to ensure quality deliverables.

You will stay ahead of the curve by researching and adopting the right mix of emerging AI tools, techniques and use cases. You will ensure our services and team are at the forefront of the AI revolution. You will serve a key role in transforming and scaling the organization for growth while maintaining high levels of customer satisfaction and project delivery success.

What you’ll do

Customer Engagement:

o Collaborate closely with customers to understand their business challenges and goals, and to develop opportunities for AI integrations.

o Understand the customer’s AI journey and how to align them for successful adoption of AI technologies and practices. Define initial assessment and proof-of-concept engagements to address customer barriers.

o Define and scope effective, scalable and performant AI solutions to meet customer requirements. Create architectures and technical requirements for AI-powered solutions. Present AI solutions and findings to clients, stakeholders, and internal teams.

oMaintain close relationships with clients throughout the project lifecycle. Manage and meet expectations. Communicate project progress effectively. Drive high levels of customer satisfaction and repeat business.

o Earn our customer’s trust by delivering outsized business outcomes. Address and manage complex customer issues and provide technical and business recommendations aligned with account strategy.

Project Delivery:

o Design and implement high-performance, scalable AI solutions using diverse techniques (e.g., machine learning, deep learning, NLP).

o Select and integrate appropriate AI tools and frameworks (e.g., TensorFlow, PyTorch, Azure ML) for optimal results.

o Proven ability to bring technical leadership to delivery of large-scale solutions for multiple customers using Agile methods. Strong ability to be as hands-on as needed to ensure project success. 

o Develop, implement, and test AI models and algorithms to meet customer requirements within the chosen architecture and framework.

o Optimize solutions for cost, scalability, performance, maintainability.

o Conduct thorough testing of AI applications to ensure correct results and optimal performance. Implement best practices for AI solution quality assurance.

o Support project managers to ensure successful project execution through effective management of resources, timelines, and budgets.

Technology Leadership:

o Continuously monitor the rapidly evolving AI landscape. Research, analyze and select emerging AI tools and techniques. Stay ahead of the curve while ensuring service offerings and team capabilities address market demands.

oIdentify and champion promising new technologies for potential client applications. Develop and lead initiatives to expand our AI application development practice.

o Identify opportunities to leverage AI within client engagements; support pre-sales activities; develop playbooks and repeatable solutions.

o Drive the adoption of chosen tools within the team and develop training programs to ensure team competency. Lead and mentor development team in AI concepts, techniques, tools and best practices.

o Define technical standards and quality measures within the AI development team.

o Facilitate development team adoption of AI-assisted software development tooling, such as Amazon Code Whisperer.

o Share knowledge and expertise within the company, documenting best practices and contributing to a culture of continuous learning.

Communication and Collaboration:

o Build an environment of trust and collaboration between Navisite and our customers.

o Collaborate effectively with cross-functional teams to deliver successful projects. Ensure effective engagement between onshore, nearshore and offshore teams.

o Collaborate with Practice Leadership, Sales, Solution Architects and other Navisite teams to define and scope innovative AI solutions for complex and large-scale customer challenges.

o Experience in a fast-paced environment and experience building teams is a big plus.

o Proven ability to interact and communicate with CxO-level personnel and navigate customer organizations to ensure successful project delivery and acceptance. Proven ability to interact and communicate with technical teams and leadership.

What You’ll Bring

•10+ years of relevant industry experience.

•5+ years of exceptional experience as a senior AI engineer.

•Experience with Large Language Models and NLP, and in training the models.

•Experience with supervised and unsupervised Machine Learning.

•Experience with Generative AI – ChatGPT, Google Bard

•Experience as a Data Scientist, building predictive and prescriptive models.

•Experience using Big Data techniques.

•Experience with OCR and image processing.

•Experience with RPA and Workflow Automation.

•Experience with a broad range of AI tools and services, such as:

o Amazon Rekognition, Textract, Comprehend, Transcribe, Kendra

o Amazon CodeWhisperer, CodeGuru DevOps Guru

o Azure OpenAI Service, AI Vision, AI Speech, AI Document Intelligence

o Google Vertex AI Platform, AutoML, Generative AI on Vertex AI, Vision AI, Document AI

o PyTorch, TensorFlow, OpenAI frameworks

o Supporting infrastructure, including GPU, TPU

•Hands-on application development experience. Project management experience is helpful.

•People management experience in a professional services team.

•Strong experience with pre-sales and solutioning.

•Strong skills in strategic planning, critical thinking.

•Strong stakeholder management along with the ability to build one’s own “brand”.

•Strong organizational skills with an ability to manage competing client demands.

•Excellent written and verbal communication skills and interpersonal skills.

•Possess a positive attitude with high self-awareness, professionalism, and ownership.

•Ability to travel up to 25%

NAVISITE - Part of Accenture, is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all employees. Navisite does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or other non-merit factor.

Internal Applicants – No sponsorship available / External Applicants – Sponsorship not guaranteed. Any potential sponsorship depends on a number of factors, including but not limited to the local candidate pool and can vary from year to year.

You must ensure compliance with data protection legislation under the DPA, EU GDPR, any other ​applicable ​data protection legislation​.