{"id":4309811,"url":"https://alion.io/job/newvision-software-consultancy-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":4489094,"name":"NewVision Software & Consultancy","domain":"newvision-software.com","url":"https://alion.io/company/newvision-software-and-consultancy","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AIOps","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Azure DevOps","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"ONNX","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Transformers","optional":false},{"name":"Azure AKS","optional":true},{"name":"Docker","optional":true},{"name":"ETL/ELT","optional":true},{"name":"GDPR","optional":true},{"name":"Git","optional":true},{"name":"HIPAA","optional":true},{"name":"Kubernetes","optional":true},{"name":"Power BI","optional":true},{"name":"pySpark","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-13T00:00:00Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T11:21:27Z","board_verified":true,"closed_at":null,"days_open":124,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":124},"description":"Job Title: Senior AI Engineer\nJOB DESCRIPTION\nRSM’s Center for Advanced Tax Technology (“CATT”) is a fast-paced, high-energy, collaborative environment that also happens to be one of the fastest growing tax practice groups at RSM.? The CATT team is focused on enhancing RSM US and global ability to deliver comprehensive, value-added, and efficient Tax products and services to our clients. It is a dynamic team with professionals of varying backgrounds from tax functional, tax technical, technology development, and product management. The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development, engagement management, tool design, and implementation.\nJOB SUMMARY\nThe Applied AI Solutions Architect is a strategic role responsible for designing, implementing, and managing AI-driven solutions that align with business objectives. This position bridges technical expertise in artificial intelligence (AI) and machine learning (ML) with business strategy, ensuring scalable, ethical, and high-performing AI systems. The AI Solutions Architect collaborates with cross-functional teams to deliver innovative solutions, leveraging generative AI, cloud platforms, and modern architectures like Retrieval-Augmented Generation (RAG).\nKey Responsibilities\nSolution Design: Architect end-to-end AI/ML pipelines, including data ingestion, preprocessing, model training, deployment, and monitoring, ensuring scalability and performance.\nTechnology Selection:?Evaluate and select appropriate AI frameworks, tools, and cloud services (e.g., AWS SageMaker, Azure AI, Google Cloud AI) based on project requirements.\nGenerative AI Implementation:?Design solutions using large language models (LLMs) and RAG architecture for applications like content generation, customer engagement, or product design.\nCollaboration: Work with data scientists, engineers, product managers, and executives to translate business needs into technical solutions, acting as a trusted advisor.\nGovernance and Ethics:?Implement responsible AI practices, addressing bias, security, and compliance in AI systems.\nMLOps and AIOps:?Establish CI/CD pipelines, model versioning, and monitoring frameworks to operationalize AI solutions.\nThought Leadership:?Advocate for AI-driven innovation, mentor teams, and communicate technical concepts to non-technical stakeholders.\nPerformance Optimization:?Ensure AI solutions meet latency, cost, and quality requirements, optimizing production environments.\nMonitor and tune workloads within the Microsoft Fabric platform to ensure cost-effective and efficient operations\nMust Have Skills\nAI Techniques: Expertise with the concepts of generative AI, prompt engineering, fine-tuning, and RAG.\nAzure Ecosystem: Expertise in Azure Machine Learning, Azure OpenAI Service (GPT, Codex, DALL·E), Azure AI Search (RAG pattern), Azure Cognitive Services, and Azure DevOps.\nAI Frameworks: Familiarity with Microsoft Semantic Kernel, Autogen C#, PyTorch, Scikit-learn, ONNX, and Hugging Face Transformers.\nProgramming: Skilled in Python and C# for AI/ML development, with expertise in vector search using Azure Cosmos DB, prompt engineering, and content safety filters.\nData Tools: Familiarity with SQL Server and Cosmos DB.\nGood to Have Skills\n??DevOps: Knowledge of version control (Git) and CI/CD (Azure DevOps, Docker, Kubernetes via Azure Kubernetes Service).\nData Engineering: Understanding of ETL processes and data lakes.\nUnderstanding of Microsoft Purview for data governance\nFamiliarity with compliance regulations (716, GDPR, GLBA, HIPAA)\nKnowledge of Microsoft Responsible AI principles\nSoft Skills:\nStrong communication skills with the ability to collaborate across technical and non-technical teams.\n?Results driven; high integrity; ability to influence, negotiate and build relationships; superior communications skills; making complex decisions and leading team through complex challenges.\n?Self-disciplined to work in a virtual, agile, globally sourced team.\n??Strategic, out-of-the-box thinker and problem-solving experience to assess, analyze, troubleshoot, and resolve issues.\nExcellent analytical skills, extraordinary attention to detail, and ability to present recommendations to business teams based on trends, patterns, and modern best practices.\n?Experience with Power BI datasets and semantic modelling is an asset.\nFamiliarity with Microsoft Purview or similar governance tools is an asset.\nWorking knowledge of Python, PySpark, or KQL is an asset.\nExperience and passion for technology and providing exceptional experience both internally for our employees and externally for clients and prospects.\n??Strong ownership, bias to action, and know-how to succeed in ambiguity.\nAbility to deliver value consistently by motivating teams towards achieving goals.\nDomain Knowledge:\nExperience in industries like Accounts / TAX, healthcare, finance, or technology, with an understanding of relevant use cases (e.g., drug discovery, personalized marketing).\n\n??????? Location:?Hyderabad (preferred) but open to other locations\n\n??????? 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