Senior Solution Architect - Data and AI
Poland - Remote
Infosys Consulting - Europe
Infosys is a global leader in next-generation digital services and consulting.Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300.000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?
Job Overview:
As a Senior Solution Architect - Data and AI, you will contribute to the evolution of our company-wide data, AI, and analytics platform, which serves central teams and markets. This role is pivotal in shaping the architecture of our next-generation data platform leveraging AWS, Databricks, Snowflake, and cutting-edge AI technologies. As part of the Data Platform Architecture team, you will play a key role in defining and delivering scalable, high-performance solutions that empower our data and AI initiatives across the organization.
Why Join the PMI Data Platform Architecture Team?
- Transform and Evolve: A unique opportunity to transform and evolve our global data, AI, and analytics platform that delivers data solutions to the entire company using cloud-native technologies.
- Customer Engagement: Engage with our customers across all functions and regions.
- Collaboration: Collaborate with other architects, engineers, and our security teams to build robust, scalable, secure, self-service industrialized data and AI platform solutions.
Key Responsibilities
- Data and AI Platform Design and Architecture:
- Design and architect end-to-end solutions for data platforms, integrating data lakes, warehouses, and advanced analytics capabilities, primarily using Databricks, Snowflake, and AWS cloud, aligning to business requirements emphasizing scalability and security.
- Develop and maintain reference architectures, blueprints, and solution design patterns for the data platform.
- Guide the integration of modern database technologies, including SQL and NoSQL databases.
- Design ML platform solutions to deliver end-to-end ML lifecycle, from exploration to deployment to serving and monitoring.
- Design scalable and modular Gen AI platform solutions that integrate with existing data ecosystems on AWS.
- Define reference architectures for implementing Gen AI capabilities such as LLMs, retrieval-augmented generation (RAG), knowledge graph, and prompt engineering.
- Guide the technical implementation of data and AI platforms and applications.
- Guide the adoption of MLOps and LLMOps best practices for ML and Gen AI, ensuring efficient deployment, monitoring, and lifecycle management of AI models.
- Ensure compliance with PMI IT security policies and standards.
- Conduct regular security reviews in collaboration with the security team and submit architectural designs to the review board for evaluation and approval.
- Collaboration and Communication:
- Collaborate with business stakeholders and product owners to gather requirements and define strategies for data platform modernization.
- Work closely with cross-functional teams to ensure successful implementation of architectural solutions.
- Technology and Vendor Assessment:
- Participate in the evaluation and recommendation of emerging data and AI technologies, leading proof-of-concept initiatives, and pilot projects, ensuring alignment with business and technology platform needs.
- Best Practices and Standards:
- Establish and enforce data platform best practices, standards, and guidelines.
- Collaborate with different architecture teams (enterprise, solution, data, and security) to establish a design pattern factory and take the lead on democratizing the design patterns for reusability.
- Create and deliver reusable technical assets and design patterns that help to accelerate the adoption of data and AI solutions on the AWS platform.
- Architectural Guidance and Documentation:
- Create and maintain comprehensive documentation for all data and AI platform solutions.
- Provide guidance and architectural support to data engineers and developers in setting up and building data platform infrastructure and solutions.
- Mentorship and Leadership:
- Mentor junior architects and collaborate with other architects to drive overall technology strategy.
- Stay on Trend:
- Lead with industry trends, emerging technologies, data, and integration patterns to drive innovation within the organization.
Requirements
What You Will Need
- Education and Architecture Experience:
- Bachelor’s degree in computer science or a related field, with a minimum of 10 years of experience in designing scalable, secure, and cost-efficient cloud-based data platform solutions.
- Technical Proficiency:
- Extensive hands-on experience in Big Data, Distributed Systems, and Cloud Architectures, particularly on AWS, leveraging SaaS, IaaS, and PaaS offerings.
- Minimum 3 years’ experience in designing data platforms using Databricks.
- Architecture experience with Snowflake, dbt, and Matillion is desired.
- Experience and good understanding of cloud infrastructure, networking, and IAM services on AWS.
- Proven experience in designing AI/ML platform solutions, including ML lifecycle management, MLOps, and Gen AI.
- Familiarity with generative AI capabilities, patterns, and technology stacks, including emerging trends.
- Database Knowledge:
- Proficient with relational databases and NoSQL databases, such as Document DB and Graph DB.
- Skilled in working with both structured and unstructured data.
- Integration:
- Strong knowledge of data integration methods, including messaging, queuing, change data capture, and data virtualization.
- BI/Visualization:
- Nice to have experience with BI tools like Power BI and Graph Visualization reporting.
- Data Concepts and Management:
- Solid understanding of data lake, data mesh, and data fabric architectures.
- Good understanding of data management and governance practices in large organizations.
- Architectural Expertise:
- Proficient in architecting and documenting data and AI platform solutions at various levels using solution architecture methodologies and best practices.
- Communication Skills:
- Excellent oral and written communication skills, with the ability to effectively convey technical concepts and align with both technical and business audiences.
Given that this is just a short snapshot of the role we encourage you to apply even if you don't meet all the requirements listed above. We are looking for individuals who strive to make an impact and are eager to learn. If this sounds like you and you feel you have the skills and experience required, then please apply now.
Benefits
About Infosys Consulting
Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.
Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.
Within Europe, we are recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognized by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.
We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data Computer Science Consulting Consulting firm Databricks Data management dbt Distributed Systems Engineering Generative AI LLMOps LLMs Machine Learning Matillion MLOps NoSQL Power BI Prompt engineering RAG RDBMS Security Snowflake SQL Unstructured data
Perks/benefits: Career development Equity / stock options Startup environment
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