As a MarTech Expert Engineer, AI Software Engineer (Adobe Practice), you will design and build components of enterprise services, partnering with other development teams to ensure alignment of information and technology strategies, focusing on integration, AI model deployment, and advanced analytics.
ROLE SUMMARY
The MarTech Expert Engineer, AI Software Engineer (Adobe Practice) designs and builds components of enterprise services, partnering with other development teams to ensure alignment of information and technology strategies, focusing on integration, AI model deployment, and advanced analytics.
DUTIES AND RESPONSIBILITIES
- Ownership of AI software engineering workstream for high-complexity AI-related assignments.
- Understand how AI strategy and services align with the overall product strategy.
- Develop and maintain strong working relationships and promote a positive, collaborative tone across a distributed team environment.
- Gather functional requirements, develop technical specifications, perform development, and identify testing approach (unit, system, and user review, and validation) for AI and software engineering projects.
- Align overall strategies and balance competing priorities in collaboration with their leader.
- Ensure common architecture decisions, particularly related to AI and software engineering, are implemented consistently across projects/programs.
- Design and develop new AI services and solutions in conjunction with technology vendors.
- Design with a balanced view of all key architectural quality metrics such as performance, scalability, reliability, availability, elasticity, and interoperability, especially in AI applications.
- Design and develop API schemas and definitions for AI software engineering projects.
- Design and develop software solutions across multiple platforms and tools, incorporating AI model integration.
- Collaborate with business partners and IT teams to implement and support the management of the company’s software and AI solutions.
- Resolve defects/bugs during QA testing, pre-production, production, and post-release patches for all AI/software engineering solutions.
- Assist with the design and architecture of AI services across the software landscape.
- Assist in the development of the integration team, contributing to reviews of methodologies, tools, and best practices for AI and machine learning projects.
- Provide support and documentation of designs and service components, including AI models and solutions.
- Perform other job-related duties as assigned.
QUALIFICATIONS
- BE/B.Tech/MCA in Computer Science or a related field.
- Passion for technology with 5+ years of practical experience, including NodeJS, TypeScript, React, Redux, Docker, Kubernetes, Git, and CI/CD, with a willingness to explore more.
- Proficient in Python, SQL, and data modeling.
- Comfortable with solving math problems and understanding data science concepts.
- Solid understanding of object-oriented and functional programming principles.
- Strong database skills, such as MySQL.
- In-depth knowledge of system design, distributed systems, and security aspects.
- Deep knowledge and experience with Linux systems and cloud platforms like Azure and AWS.
- Experience with API design and the ability to architect and implement intuitive customer and third-party integration stories.
- Strong understanding of machine learning algorithms and AI model deployment.
- Excellent problem-solving skills and attention to detail.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of data warehousing solutions and ETL processes.
- Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
- Understanding and expertise in prompt engineering, RAG, OpenAI, and Open Source models will be a plus.
- Expertise in NoSQL databases like MongoDB will be a plus.
Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person’s race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.