{"id":3936004,"url":"https://alion.io/job/deloitte-junior-ai-architect","title":"Junior AI Architect","company":{"id":272,"name":"Deloitte","domain":"deloitte.com","url":"https://alion.io/company/deloitte","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Avature","truth_index":{"grade":"A","score":100,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Delhi, 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Learning","optional":false},{"name":"Scala","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-11-08T07:35:15Z","employer_posted_date":null,"last_verified_at":"2026-11-08T07:35:15Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"The team:\n\nThe Enabling Area - Information Technology team is responsible for building and maintaining different applications for Deloitte South Asia that focus on providing employee experience.\n\nYour work profile:\nArchitecture Design: Design end-to-end architecture for AI solutions, including data ingestion, processing, modeling, deployment, and monitoring.\nDefine architecture patterns, components, and interfaces to ensure scalability, performance, and reliability.\nTechnology Evaluation: Evaluate and select appropriate AI technologies, frameworks, and tools to support the implementation of AI solutions.\nStay abreast of emerging AI trends and advancements to inform technology decisions and architectural design.\nModel Development and Optimization: Collaborate with data scientists and machine learning engineers to develop and optimize machine learning and deep learning models.\nEnsure best practices in model development, training, evaluation, and deployment.\nIntegration and Deployment: Integrate AI solutions into existing systems and infrastructure.\nDefine deployment strategies and processes for deploying AI models in production environments, including cloud-based and edge computing platforms.\nPerformance Monitoring and Optimization: Establish monitoring and optimization mechanisms to track the performance, accuracy, and efficiency of AI systems in production.\nImplement feedback loops and continuous improvement processes to optimize AI models and algorithms over time.\nGovernance and Compliance: Define governance policies and practices for AI development, deployment, and usage.\nEnsure compliance with regulatory requirements, ethical standards, and privacy considerations in AI initiatives.\nCollaboration and Leadership: Collaborate with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders, to drive AI projects from concept to delivery.\nProvide technical leadership and mentorship to team members.\n\nKey skills required:\nBachelor's, Master's, or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.\nMinimum of 3+ years of relevant professional experience as an AI Architect or similar role, with a focus on designing and implementing AI solutions.\nUnderstanding of machine learning, deep learning, and other AI techniques and algorithms.\nExperience with AI development frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or ML.Net.\nProficiency in programming languages such as Python, Java, or Scala.\nStrong knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.\nExperience with containerization and orchestration technologies such as Docker and Kubernetes.\nExcellent problem-solving skills and analytical thinking.\nStrong communication and collaboration skills, with the ability to work effectively in cross-functional teams.\nLeadership experience, with the ability to inspire and influence team members and stakeholders.\nExperience with AI applications in specific domains such as computer vision, natural language processing, or reinforcement learning.\nKnowledge of edge computing and IoT (Internet of Things) technologies.\nUnderstanding of DevOps principles and practices for AI development and deployment.\nSkills\nAI, AWS, Azure, Deep Learning, Docker, GCP, Kubernetes, Machine Learning, PyTorch, Scikit-learn, 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