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A technology company seeks a Generative AI Solution Architect to lead innovative AI solutions. The role entails designing and implementing advanced generative AI systems, collaborating with diverse teams, and ensuring ethical compliance. Candidates should have a minimum of 5 years in AI solution architecture and strong communication skills, with relevant degrees and certifications preferred.
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Coforge
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Yes
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302997047093493760032460
1
23.07.2025
06.09.2025
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Job Title:
Generative AI Solution ArchitectLocation:
Remote (Must be based in Spain or Poland)Employment Type:
Full-TimeExperience Level:
Senior (5+ years)Skills:
AI, GenAI & Data Architecture.
Role OverviewAt
Coforge,
we are seeking a
Generative AI Solution Architect
to lead the design and implementation of cutting-edge generative AI solutions. This role involves working closely with stakeholders to translate business challenges into scalable, ethical, and high-performing AI systems.
ResponsibilitiesDesign and implement end-to-end generative AI solutions aligned with business goals and industry best practices.Collaborate with cross-functional teams to understand challenges and develop tailored AI strategies.Evaluate and select appropriate models, frameworks, and tools for optimal performance and scalability.Build prototypes and proof-of-concepts to validate AI approaches.Ensure compliance with ethical standards, governance frameworks, and regulatory requirements.Provide technical mentorship to engineering and data science teams.Stay current with emerging trends in generative AI to inform strategic decisions.Communicate complex technical concepts effectively to non-technical stakeholders.
Mandatory SkillsDeep understanding of generative AI concepts, methodologies, and design patterns.Strong communication and stakeholder management skills.Ability to assess and select appropriate generative AI technologies and tools.Awareness of ethical considerations and governance in generative AI design.
Nice-to-Have SkillsExperience with vector databases and retrieval-augmented generation (RAG).Familiarity with orchestration frameworks like LangChain or LlamaIndex.Background in agent-based AI systems or multi-agent collaboration frameworks.
Qualifications & ExperienceMinimum 5 years in AI/ML solution architecture, with at least 1 year focused on generative AI.Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer) are a plus.
Ready to shape the future of AI?