V
Architect
V
Architect
Virtusa- Posted 11 hours ago
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Job Description
Technical Architect
Location: PCS HYD, Hyderabad
Years of Experience: 5-7 Years
Job Summary: We are seeking a highly skilled Technical Architect with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for designing and implementing innovative technical solutions that leverage AI and ML technologies to meet business objectives. This role requires a deep understanding of AI/ML frameworks, architecture design, and the ability to collaborate with cross-functional teams.
Responsibilities
Location: PCS HYD, Hyderabad
Years of Experience: 5-7 Years
Job Summary: We are seeking a highly skilled Technical Architect with a strong background in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for designing and implementing innovative technical solutions that leverage AI and ML technologies to meet business objectives. This role requires a deep understanding of AI/ML frameworks, architecture design, and the ability to collaborate with cross-functional teams.
Responsibilities
- Design and develop scalable architecture solutions that incorporate AI and ML technologies.
- Collaborate with stakeholders to gather requirements and translate them into technical specifications.
- Lead the implementation of AI/ML models and algorithms, ensuring they align with business goals.
- Conduct code reviews and provide guidance to development teams on best practices in AI/ML.
- Stay updated with the latest trends and advancements in AI/ML and recommend improvements to existing systems.
- Document architectural designs, processes, and best practices for future reference.
- Proven experience in AI and ML technologies, including frameworks such as TensorFlow, PyTorch, or similar.
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with cloud platforms (AWS, Azure, GCP) and their AI/ML services.
- Solid understanding of data structures, algorithms, and software design principles.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Experience with big data technologies (Hadoop, Spark) and data engineering.
- Knowledge of DevOps practices and CI/CD pipelines.
- Familiarity with containerization technologies (Docker, Kubernetes).
- Strong communication and interpersonal skills.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-7 years of experience in software development and architecture, with a focus on AI/ML.
More Info
Key Skills
About Company
Skills:
Mutual TLS (mTLS), OpenID Connect (OIDC), Google Cloud Platform (GCP), Maven, Apigee, Saml, Javascript, Docker, Tls, Python, Java, Jwt, SSL, Jenkins, Git, Kubernetes, Microservices architecture, OAuth 2.0, API lifecycle management, API Key validation, apigeetool, apigee-maven-plugin, GitLab CI, CORS, RESTful API design
Skills:
BigQuery, Data Modelling, Data Architecture, Dataproc, ELT, Data Governance, Integration, DataFlow, Python, Etl, Cloud Spanner, data observability, AI governance principles, GCP data platforms, Pub Sub, Dataplex, lakehouse architecture, BigQuery ML, Vertex AI, event-driven architecture, Gemini
Skills:
Azure Data Factory (ADF), Pyspark, Azure Databricks, Etl Solutions, Azure Synapse Analytics, Microsoft Azure, Powershell Scripting, Ruby, Azure Storage, Python, Power Bi, Scala, SQL Server, Bash, Azure Cosmos DB, SQL Data warehousing concepts, Azure Purview, HDInsight, Data Lake Store, Event Hubs, Azure Analysis Services, Power Apps, Data Lake Analytics, Stream Analytics, U-SQL, Azure Data Flow
Skills:
Concurrency, Gcp, Iam, Distributed Systems, Python, LangChain, CrewAI, GKE, Feature Store, Vector databases, ADK, Async patterns, Hybrid search architectures, VPC Service Controls, Pub Sub, LangGraph, Workload Identity, Vertex AI Pipelines, Embedding pipelines, Vertex AI, Secret Manager, Gemini
Skills:
semantic modeling , Gcp, Neo4j, Python, Kubernetes, AWS, knowledge engineering, Hybrid-cloud design, Claude ecosystem, taxonomies, graph tech, Neptune, vector DBs, MCP integrations, AWS AgentCore, ontologies, agentic frameworks