Solution Architect
HCLTech
Sydney, Victoria, AustraliaPosted about 1 month agoDiscoveredMatch locked
HybridFull-time8+ years exp
Key Responsibilities
- Define and drive enterprise Data & AI strategy, architecture, and transformation roadmaps.
- Partner with C-level stakeholders to align AI and data initiatives with business outcomes.
- Architect scalable Data, Analytics, AI/ML, and Generative AI solutions across cloud and hybrid environments.
- Lead the design of modern data platforms, including Lakehouse, Data Fabric, Data Mesh, and AI-enabled architectures.
- Establish architecture standards, governance, security, compliance, and Responsible AI practices.
- Drive AI innovation leveraging LLMs, RAG, AI Agents, MLOps, and LLMOps frameworks.
- Lead discovery workshops, architecture assessments, solution design, and implementation roadmaps.
- Provide technical leadership across delivery, presales, and client engagements.
- Mentor architects and engineering teams while promoting best practices and reusable assets.
Skill Requirements
- Data Platforms: Analytics and AI-ready Strategy/Solutions across AWS, Azure, GCP, Databricks, Snowflake, and other modern data platform ecosystems.
- AI & GenAI: Azure OpenAI, LLMs, RAG, AI Agents, Vector Databases, Prompt Engineering, AI Governance.
- Data & Analytics: Data Warehousing, Lakehouse, Data Engineering, Real-Time Analytics, BI, DataOps, MLOps, Python, SQL, Spark.
- Cloud & Architecture: Azure (preferred), AWS, GCP, Enterprise Architecture, API-led Integration, Microservices, DevSecOps.
Leadership & Success Measures
- Executive presence, strategic thinking, and stakeholder influence.
- Successful delivery of Data & AI transformation programs and business value realization.
- Strong governance, architecture quality, innovation, client satisfaction, and revenue contribution.
Other Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
- 15+ years of experience in Data, Analytics, AI, Cloud, or Enterprise Architecture.
- 8+ years leading enterprise-scale architecture and transformation programs.
- Proven success delivering data modernization, analytics, and AI initiatives.
- Strong executive stakeholder management, consulting, and communication skills.
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligenceazureawsgcpgenerative-aillmmlopsragdatabrickspythonsnowflakespark
Who can apply
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