Top Tech Jobs & Startup Jobs

Lead the architecture and delivery of enterprise Generative AI solutions using LLMs, RAG, AI agents, cloud-native platforms, and enterprise integrations. Define AI strategies, reference architectures, governance, security, observability, and implementation roadmaps. Guide architecture reviews, mentor engineering teams, evaluate emerging technologies, and drive production delivery across regulated and enterprise environments.

Design and lead enterprise-scale Adobe Experience Manager solutions, including architecture, integrations, deployment strategies, CI/CD, Dispatcher, CDN, caching, governance, security, and performance optimization. Lead and mentor development teams, make architectural decisions, and collaborate with stakeholders to deliver scalable digital experiences. Required expertise includes AEM, Java, OSGi, Sling, JCR, REST APIs, DevOps, and technical leadership.

Leads global infrastructure engineering teams and oversees the development, deployment, reliability, security, compliance, automation, observability, and cost optimization of enterprise infrastructure and cloud services. Establishes infrastructure product roadmaps, modernizes legacy systems, manages IT budgets, ensures service-level objectives, and collaborates with cybersecurity and other stakeholders to deliver scalable, reliable platforms.

Designs, develops, and deploys production Generative AI and LLM applications, including RAG pipelines, AI agents, semantic search, backend APIs, and enterprise data integrations. Builds scalable data and MLOps solutions using Databricks, Snowflake, and AWS. Collaborates across engineering and data teams while optimizing model performance, cost, latency, security, compliance, and privacy, including HIPAA requirements where applicable.

Leads technical sales strategy and solutions engineering for enterprise accounts. Designs high-level architectures spanning cloud, data, AI, digital platforms, modernization, and engineering transformation. Partners with sales, delivery, engineering, and executives on discovery, proposals, RFPs, commercial pursuits, workshops, proof-of-concepts, pricing, and delivery transition. Advises senior client stakeholders, develops solution narratives and reusable offerings, drives account growth, and provides thought leadership on AI-native transformation and modern software delivery.

Lead quality engineering initiatives across enterprise applications, APIs, cloud-native services, and AI-powered solutions. Define test strategies, quality standards, governance, and metrics; mentor QA and automation teams; build scalable UI, API, backend, integration, and end-to-end automation frameworks; integrate testing into CI/CD pipelines; and validate AI applications for accuracy, hallucinations, bias, ranking, inference behavior, and adversarial scenarios.

Manage Adobe Experience Manager components, templates, workflows, and personalization. Design and monitor A/B and multivariate testing campaigns using Adobe Target or similar tools. Build reliable end-to-end UI automation with Playwright and TypeScript or JavaScript, validate user journeys and dynamic elements, and integrate automated regression testing into CI/CD pipelines such as Adobe Cloud Manager and GitHub Actions.

Design and implement cloud-native DevOps and platform engineering solutions for enterprise clients. The role requires deep AWS expertise, AWS CDK with Python, OCI, Terraform, reusable infrastructure modules, remote state management, high availability, parameterization, AWS Lambda, Boto3, and TypeScript. The consultant will apply enterprise best practices, solve complex technical problems, collaborate with teams, adapt to changing conditions, and travel as needed.

Supports partner API integration initiatives by gathering requirements, coordinating engineering and external partners, defining user stories and acceptance criteria, tracking risks and progress, and assisting with testing, validation, documentation, and launches.

Lead a large-scale Oracle Cloud Infrastructure data platform migration through architecture assessment, target-state design, migration planning, and hands-on technical execution. Optimize Oracle databases, SQL, ETL/ELT pipelines, synchronization, and cloud infrastructure. Establish monitoring, observability, automation, coding standards, and deployment practices while leading technical triage and collaborating with engineering, infrastructure, architecture, and business stakeholders.