Job Summary:

We are seeking a dynamic and detail-oriented Business Analyst to support the development and deployment of Generative AI (GenAI) solutions. This role focuses on bridging business needs with technical capabilities, ensuring successful integration of GenAI models like those built on AWS Bedrock, SageMaker, and other GenAI platforms into innovative business applications.

Key Responsibilities: 

Requirement Gathering and Analysis:

• Collaborate with stakeholders to define business goals and use cases for GenAI solutions.
• Identify and document functional and non-functional requirements, ensuring alignment with the organization’s objectives.
• Conduct feasibility analysis for deploying GenAI applications, including chatbot development, text summarization, and personalized recommendations.

Solution Design:

• Design workflows and user experiences that effectively integrate GenAI capabilities, ensuring a balance between technical feasibility and business value.
• Create detailed documentation, including wireframes, data flow diagrams, and user stories for GenAI use cases.
• Collaborate with UX/UI teams to ensure seamless integration of GenAI outputs into interfaces.

Collaboration and Communication:

• Act as the liaison between business teams, data scientists, and AI engineers to ensure clear communication and understanding of GenAI project goals.
• Support cross-functional teams in implementing GenAI solutions, addressing challenges, and ensuring smooth delivery.

Data and Model Readiness:

• Partner with data teams to ensure data is prepared and labeled appropriately for training GenAI models.
• Validate the relevance and quality of model outputs, providing actionable feedback for improvement.

Performance and Governance:

• Define KPIs and success metrics for evaluating GenAI project outcomes.
• Monitor ethical and responsible AI usage, identifying and mitigating risks such as bias, inaccuracies, or inappropriate use of GenAI technologies.

Continuous Improvement:

• Gather feedback on GenAI solutions post-deployment and recommend iterative improvements.
• Stay updated on the latest advancements in GenAI tools and technologies, especially within AWS ecosystems like Bedrock, SageMaker, and Lex.

Key requirements

Technical Skills:

• Strong knowledge of GenAI concepts, including prompt engineering, API integration, and output evaluation.
• Familiarity with AWS tools such as Bedrock, SageMaker, Comprehend, and Lex.
• Experience with data analysis and preparation for AI/ML models.

Business Acumen:

• Proven ability to translate business objectives into GenAI use cases.
• Experience in Agile methodologies, including backlog management and sprint planning. 
• Strong understanding of KPI-driven performance evaluation.

Soft Skills:

• Excellent communication skills, with the ability to present technical concepts to non-technical stakeholders.
• Proactive problem-solving and critical-thinking abilities. 
• Strong collaboration skills to work with cross-functional teams.

Tools and Platforms:

• Experience with project management and collaboration tools (e.g., Jira, Confluence, Miro).
• Familiarity with wireframing tools (e.g., Figma, Draw.io).

Education and Certifications:

• Bachelor’s degree in Business Administration, Computer Science, or related fields.
• Certifications in AWS Cloud or AI/ML are a strong plus.  

What We Offer:

• Innovative Environment: A dynamic and collaborative work environment where innovation is encouraged.
• Professional Growth: Opportunities for professional growth and development through continuous learning and exposure to cutting-edge technologies.
• Competitive Package: Competitive salary and benefits package
• Impactful Work: The chance to work on cutting-edge projects with industry-leading clients, making a tangible impact on their business success.

Apply now!

Due to the high volume of applicants, only shortlisted candidates will be contacted. We apologize for this inconvenience!