Tech Stack
AWSAzureCloudCyber SecurityITSMJavaPython
About the role
- This hands-on role demands extensive expertise in artificial intelligence, machine learning, and data analytics to design, construct, and deploy sophisticated AI-driven systems tailored to clients' unique requirements.
- The AI Solutions Architect will focus on developing intelligent Agents and leveraging Agentic Process Automation to streamline and enhance business operations.
- The AI Solutions Architect will identify high-value use cases, assess feasibility during workshops, and develop prototypes as part of proof-of-concept initiatives.
- They will lead and deliver pilot projects to demonstrate AI capabilities, validate concepts, and gather client feedback for usability evaluations.
- Additionally, they will create transformational designs and architectural visions that seamlessly integrate with existing infrastructures, ensuring scalability and alignment with business objectives.
- Provide technical leadership and mentorship to internal teams and clients.
- Guide the implementation of AI solutions, ensuring best practices and technical excellence.
- Stay abreast of the latest trends and advancements in AI, machine learning, and data analytics.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
- Communicate effectively with clients and internal teams to keep projects on track.
- Address and resolve technical challenges that arise during project development and deployment.
- Conduct rigorous testing and validation of AI solutions to ensure accuracy and reliability.
- Perform usability evaluations and make necessary adjustments based on client feedback.
- Continuously monitor and optimize deployed AI systems for performance and scalability.
- Document architectural designs, project plans, and technical specifications.
- Prepare and present detailed reports and presentations to clients and stakeholders.
- Maintain thorough records of project progress, decisions, and outcomes.
- Drive AI-driven digital transformation initiatives that deliver measurable value to clients.
- Contribute to the development of AI best practices, methodologies, and frameworks.
- Represent the organization at industry events, conferences, and forums to showcase AI expertise.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Minimum 5-10 years of experience in designing, developing, and deploying AI and machine learning solutions.
- Microsoft Certified: Azure AI Engineer Associate; Azure Solutions Architect Expert; Data Scientist Associate; Azure Data Engineer Associate; Power Platform Fundamentals
- Relevant certifications in Machine Learning, Data Analytics, and Cloud Computing
- Deep understanding of artificial intelligence, machine learning, and data analytics.
- Proficiency in programming languages such as Python, R, and Java.
- Knowledge of data processing and analysis tools such as Microsoft PowerBI and Fabric
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
- Ability to interpret and manipulate large datasets to draw meaningful insights.
- Experience in developing and evaluating AI models and algorithms.
- Ability to design and implement scalable and reliable AI solutions.
- Experience in creating architectural blueprints and technical specifications.
- Understanding of system integration and interoperability principles.
- Experience with automation technologies to enhance operational efficiency and reduce manual tasks.
- Experience in managing AI projects from conception to deployment.
- Demonstrated ability to lead technical teams and provide mentorship.
- Proven track record of driving AI initiatives and delivering successful projects.
- Understanding of how AI can be applied to solve business problems and create value.
- Ability to align AI solutions with clients' business objectives and strategies.
- Awareness of industry trends and competitive landscape.
- Strong hands-on experience with Microsoft Azure services, Microsoft Power Platform and Microsoft 365 services.
- Solid experience in data analytics, data engineering, and data visualization using Microsoft tools such as Power BI.
- Demonstrated experience in solution architecture, including creating architectural designs and integrating AI solutions with existing systems.
- Extensive experience in engaging with clients and consulting to understand their business needs, assess client requirements, and drive change management initiatives.
- Proven experience in integrating AI solutions with business domains, addressing enterprise concerns, adhering to industry standards, and leveraging established patterns and best practices.
- Seasoned experience working in an agile development environment, with a focus on iterative development and continuous improvement.
- Strong experience in developing, selling, and delivering technical solutions that meet client requirements and demonstrate measurable value.
- Seasoned professional technical, IT, or operations experience within a large-scale (preferably multinational) technology services environment, covering areas such as software development, technical presales, and enterprise architecture.
- Proven ability to lead and deliver pilot projects, manage project timelines, and coordinate cross-functional teams.
- Familiarity with industry-specific AI applications and trends, with the ability to adapt solutions to meet the unique requirements of different sectors.
- Excellent command of both spoken and written English.