Azure AI Architect

Unlock insights and value from data with Avanade, where advanced analytics and team collaboration converge.

You're an organized problem-solver with a talent and acumen for business, whose knowledge and experience helps turn business needs into solutions. You guide and support your team, whether at home or around the globe, to provide successful and accessible AI solutions that solve client problems.

• AI, Machine Learning, Data Science & Analytics (Required: Python, TensorFlow, Neural Networks, Predictive Modeling, LLM)

• Design & Build cloud architecture for AI solutions (preferably in Azure)

• Azure AI Services: OpenAI, Speech, Language, Vision preferred

• Applying data and analytics to business use cases

• Software engineering using DevOps principals (Knowledge of DevOps workflows, Git, containers, CICD, etc.)

• Use validated methods to solve business problems using Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.

• Hands on delivery using Python

• Real-time or near real-time streaming data analytics

• DevOps, MLOps, SDLC, Agile Development

Architect/Sales Experience:

• Sales Mentality: Strong communication and customer facing skills.

• Communicator: Can talk openly and easily about AI use cases in multiple industries (Manufacturing, Healthcare, Retail, Resources, etc.) and articulate ROI

• Solutioning: Capable of seeing the big picture and breaking it down to its discreet components.

Leadership Experience:

• Leadership: Ability to drive overall project goals and make calculated decisions to drive innovation

• Consulting: Management Consulting & SI excellence is strongly preferred

• Team management: Proven experience leading teams, fostering collaborative environment that encourages knowledge sharing, communication, etc.

• Mentorship: Foster growth and development of junior professionals

The Azure AI Architect is responsible for estimating, solutioning, and developing scalable architecture aligned to a business strategy and benefits case. The Azure AI Architect will need to understand how various parts of the business processes, operating systems, and application architectures work together to design a specific AI solution that fits a client's environmental requirements. In parallel, they will also need to take ownership of project delivery for technical AI work. The Azure AI Architect will need to be able to design custom cloud-AI solutions that adhere to Avanade's AI methodologies and industry best practices and will be accountable for recommending appropriate technology solutions, delivering architectural/technical solution designs, and driving technical delivery.

Solution Architecture/Pre-Sales:

• Facilitate team and client meetings and conduct pre-sales presentations to showcase our solutions and capabilities.

• Collaborate closely with our AI, IoT, and Intelligent Automation teams and Solution Architects to translate customer's business requirements into tangible AI value propositions and solution scopes.

• Analyze client processes, identify AI opportunities, and recommend approach based on analysis and client maturity.

• Estimate, solution, design, and help drive and deliver AI deals.

• Help build AI assets and enable internal and external stakeholders while growing capability and delivering high-quality solutions for clients.

Project Technical Lead:

• Lead delivery for a variety of AI projects as SME, Solution Architect, or Technical Architect

• Lead Data Exploration

• Develop and Validate AI Models

• Generate Insights and Recommendations

• Support Implementation and Deployment of Models

• Provide technical guidance, best practices, and quality assurance to AI project teams related to delivery approach and strategy.

• Travel as needed.

To learn more about the types of projects our Data & AI team works on check out these case studies:

• thyssenkrupp Materials Services uses data to help strike a delicate operational balance

• What matters to SSE Renewables is innovating for a sustainable future

• Hachette UK enables employees with machine learning-driven contract searches

• Marston Holdings identifies significant cloud savings

Interested in knowing what's going on inside Avanade? Check out our blogs:

• Avanade Insights - exchange ideas that drive tomorrow's innovation

• Inside Avanade - explore what life is like working at Avanade

Some of the best things about working at Avanade

• Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)

• Real-time access to technical and skilled resources globally

• Dedicated career advisor to encourage your growth

• Engaged and helpful coworkers genuinely interested in you

Find out more about some of our benefits Employee Benefits at Avanade | Avanade

As an Analytics AI Architect within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's business strategy into solutions and services that lead to successful, impactful outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture. Together we do what matters.

You probably have a master's degree or Ph.D. in a quantitative field such as computer science, applied mathematics, statistics, engineering, or machine learning - or an equivalent combination of education and experience. You're likely to be a MSFT Certified Data Science Associate and you have been in a similar professional position for around five to seven years.

• A preferred candidate will have 5+ years in high tech sales architecture role including responsibilities around:

• Leadership

• Ran successful team of Data Scientists and AI Architects

• Prioritization

• Led all task delegation and ownership around prioritization of work.

• Pipeline ownership

• Managed and grew sales pipeline around AI and Machine Learning

• Technical Expertise

• Valued as thought leader in AI lending oversight to delivery teams.

• Project Management

• Managed DevOps teams and is a certified project manager.