Akkodis · 7 hours ago
AI Solutions Architect
Maximize your interview chances
Insider Connection @Akkodis
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Develop and refine AI architectures that enable agentic capabilities, focusing on autonomous decision-making and self-improvement mechanisms
Design, develop, and maintain enterprise-level, scalable full-stack applications that support real-time data analysis and visualization and leverage AI design components.
Design and implement MLOps processes to streamline model development, deployment, and monitoring
Create human-in-the-loop systems for model training and evaluation across text and image data
Optimize AI/ML pipelines for performance and scalability
Lead the collection and analysis of requirements for AI-based solutions, ensuring high availability and performance for data-centric applications.
Ensure that AI solutions integrate seamlessly with existing software systems, databases, and IT infrastructure, maintaining scalability, security, and compliance.
Collaborate with cross-functional teams to integrate AI solutions into existing products and workflows
Coordinate with stakeholders to gather feedback, demonstrate solutions, and enhance agent capabilities.
Expand application capabilities to include mobile platforms (iOS and Android) if needed.
Stay current with advancements in agentic AI, reinforcement learning, and similar fields to incorporate cutting-edge methods into AI solutions
Monitor AI system performance, troubleshoot issues, and optimization for efficiency, scalability, and robustness.
Generate reports to track AI performance and inform decision-making.
Document AI processes, models, and outcomes for future reference and knowledge transfer.
Support documentation efforts for continuity and compliance with organizational standards.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
4+ years in AI, including AI Agent Development.
Bachelor's degree in Computer Engineering, Computer Science, Data Science, or related field; Master’s preferred.
4 - 6 Years of experience preferred in a relevant technical field, with a focus on project involvement and technical expertise.
AI Agent Development: proven experience in designing, deploying, and scaling AI Agents tailored to specific use cases.
Proficiency in AI/ML frameworks (CoPilot, Azure Fabric) and programming languages (Python, Java, etc.).
Deep understanding of agent-based modeling, reinforcement learning, and adaptive AI systems.
Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
Data Analysis and SQL: Skilled in SQL and data analysis to drive data-driven insights.
Strong ability to explain complex technical concepts to both technical and non-technical audiences.
Preferred
Experience with multi-agent systems leveraging Microsoft’s AI technology stack.
Knowledge of regulatory and ethical considerations in AI, especially for autonomous systems.
Benefits
401(k) with match
Medical insurance
Dental Insurance
Vision assistance
Paid Holidays Off
Company
Akkodis
Akkodis is a digital engineering company and Smart Industry leader.
H1B Sponsorship
Akkodis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (59)
Funding
Current Stage
Late StageLeadership Team
Recent News
Help Net Security
2024-12-10
24-7 Press Release Newswire
2024-11-23
PRNewswire Asia
2024-10-21
Company data provided by crunchbase