At Accenture, we believe that innovation and cutting-edge technology are the keys to staying ahead in today's rapidly evolving business landscape. That's why we're looking for a talented AI/ML Solution Architect to join our team. As a Solution Architect, you will be at the forefront of leveraging artificial intelligence and machine learning to drive transformative solutions for our clients. We're seeking a driven and experienced individual with a passion for AI/ML and a track record of successfully delivering complex projects. If you're ready to take your career to the next level and be a part of shaping the future of business, then we want to hear from you.
- Research and Stay Updated on AI/ML Trends: Stay up-to-date on the latest developments and advancements in the field of artificial intelligence and machine learning. Use this knowledge to identify potential areas of growth and improvement for our clients.
- Develop AI/ML Solutions: Collaborate with clients and internal teams to understand business needs and develop innovative AI/ML solutions that address their challenges and drive business success.
- Design Technical Architectures: Design and develop technical architectures for AI/ML solutions, ensuring scalability, reliability, and security.
- Project Management: Lead project teams to deliver AI/ML solutions within agreed upon timelines and budgets. Effectively manage project resources, risks, and timelines.
- Client Relationship Management: Build and maintain strong client relationships by understanding their needs, providing regular updates on project progress, and effectively managing expectations.
- Team Leadership and Mentorship: Provide guidance and mentorship to junior team members, helping them develop their skills and grow within the company.
- Quality Assurance: Ensure the quality and accuracy of AI/ML solutions by conducting thorough testing and implementing processes for continuous improvement.
- Communication and Collaboration: Communicate effectively with cross-functional teams, including developers, data scientists, and business stakeholders, to ensure successful delivery of projects.
- Identify Business Opportunities: Use your expertise and knowledge of AI/ML to identify new business opportunities and help drive growth for the company.
- Continuous Learning: Continuously enhance your skills and knowledge in AI/ML by attending conferences, workshops, and training sessions, and applying new techniques and technologies to projects.
Strong Technical Background And Understanding Of Ai/Ml Technologies: A Successful Ai/Ml Solution Architect At Accenture Should Possess A Deep Understanding Of Various Ai/Ml Technologies Such As Machine Learning, Natural Language Processing, And Computer Vision. They Should Also Have Hands-On Experience In Implementing These Technologies In Real-World Projects.
Experience In Designing And Developing Ai/Ml Solutions: The Ideal Candidate Should Have Experience In Designing And Developing End-To-End Ai/Ml Solutions For Complex Business Problems. They Should Be Able To Translate Business Requirements Into Technical Solutions And Have A Strong Understanding Of Data Science And Engineering Principles.
Knowledge Of Cloud Platforms And Infrastructure: With Most Ai/Ml Solutions Being Deployed On The Cloud, A Strong Understanding Of Cloud Platforms Such As Aws, Azure, Or Google Cloud Is Essential. The Candidate Should Also Have Knowledge Of Infrastructure Components Such As Data Storage, Compute, And Networking To Design Scalable And Secure Solutions.
Excellent Communication And Collaboration Skills: As An Ai/Ml Solution Architect At Accenture, The Candidate Will Be Working With Cross-Functional Teams And Stakeholders. Hence, Strong Communication And Collaboration Skills Are Essential To Effectively Communicate Complex Technical Concepts And Work Collaboratively Towards A Common Goal.
Business Acumen And Consulting Experience: In Addition To Technical Skills, The Candidate Should Also Possess Strong Business Acumen And Consulting Experience. They Should Be Able To Understand The Client's Business Challenges And Provide Strategic Guidance On How Ai/Ml Solutions Can Drive Business Value And Impact.
Programming
Data Analysis
Big Data
Machine Learning
Deep Learning
Cloud Computing
Algorithm design
Artificial Intelligence
Natural language processing
Statistical modeling
Neural Networks
Predictive
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a AI/ML Solution Architect in Chicago, IL, USA is between $140,000 and $160,000 per year. This can vary depending on factors such as experience, education, and the specific company or industry. Some professionals in this role may earn higher salaries, particularly with advanced degrees or certifications and in high-demand industries.
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