AI Platform Architect · Engineering Leader · Digital Transformation Executive
📍 Philadelphia, PA | 📞 201-851-3111 | ✉️ monik_doshi@yahoo.com | LinkedIn ↗
Monik Doshi is a results-driven Engineering Director with 18+ years of experience architecting enterprise-grade AI platforms, spearheading digital transformation programs, and orchestrating high-performing cross-functional engineering organizations across media, telecom, and technology sectors.
Across tenures at Cognizant, SiriusXM, and Comcast, Monik has consistently translated complex business imperatives into scalable technology ecosystems — overseeing $67M+ in combined engineering budgets, leading organizations of 50+ engineers, and delivering platforms that serve 30M+ end-users globally.
A natural bridge between executive vision and engineering execution, Monik partners with C-suite stakeholders to define multi-year technology roadmaps, rationalize vendor ecosystems, and champion responsible AI adoption — from LLM-powered conversational agents to cloud-native microservices.
Core conviction: engineering excellence is a business multiplier. Every architectural decision, team structure, and delivery model is optimized for maximum commercial and customer impact.
"Technology without strategic intent is just overhead. I build engineering organizations that don't just ship code — they architect competitive advantage, accelerate revenue, and scale human potential."
Four high-impact programs demonstrating architectural oversight, stakeholder leadership, and transformational outcomes.
Enterprise clients demanded AI-native media and digital product platforms, but lacked scalable infrastructure for deploying LLMs with production-grade governance, safety guardrails, and cost-efficient inference at scale.
As Engineering Director, own end-to-end design, architecture, and platform delivery of AI-driven systems across AWS/Azure/GCP — aligning a 50+ member organization with enterprise digital transformation goals.
Architected distributed AI platforms incorporating RAG patterns, multi-model coordination, prompt lifecycle management, and agent-based orchestration. Orchestrated cross-functional teams (AI/ML, Platform, DevOps, Product). Stewarded a $7M budget, optimizing vendor SLAs and cloud spend. Championed responsible AI frameworks including hallucination risk mitigation and compliance governance. Led executive-level solution design for RFPs and strategic client presentations.
Delivered a 27% increase in operational efficiency and enabled new AI service offerings — conversational agents, generative AI personalization, and content automation — directly expanding the enterprise AI services portfolio.
SiriusXM's content and recommendation services faced spiraling infrastructure costs, fragmented cloud strategy, and a growing demand for next-generation personalized customer experiences across web and mobile.
As Associate Director, oversee a $60M+ engineering budget, lead 4+ teams, and architect the cloud migration strategy while modernizing the core content and recommendation platform serving millions of subscribers.
Redesigned and architected Page and Relationship Services using Kinesis Streams, Spring Boot, DynamoDB, and AWS Fargate. Spearheaded on-demand auto-scaling migration to AWS, enabling elastic capacity. Negotiated tiered pricing structures with professional services and software vendors. Drove comprehensive infrastructure evaluation identifying redundant services and cost inefficiencies. Coordinated incident management across 5 cross-functional teams and improved budget forecast accuracy by 30%.
Delivered $10M in cloud cost savings, reduced infrastructure spend by 22%, improved system reliability by 25%, boosted delivery efficiency by 25%, and reduced error rates by 12% through streamlined cross-functional communications.
Comcast's engineering organization faced slow release cycles, poor application uptime, and mounting technical debt from monolithic application architectures that couldn't scale with customer demand or product velocity.
As Engineering Manager, lead 2 managers and 12+ engineers to execute a full cloud-native modernization: re-architect applications, implement containerized deployments, and embed DevOps culture across the organization.
Designed and architected full-stack solutions using React.js, Node.js, Java, Spring Boot, Kafka, and Cassandra on AWS EC2. Engineered a Docker-based cloud hosting solution with containerized application delivery. Established CI/CD pipelines, code quality standards, and testing frameworks. Managed resource allocation, risk, and dependency planning to ensure delivery within budget. Presented technical strategies and progress to senior leadership.
Reduced deployment time by 60%, increased application uptime by 80%, achieved 20% cost savings through optimized resource management, and elevated project completion rates by 11% through improved engineering standards.
Comcast's enterprise communications platform supported 27M+ mailboxes and 30M+ customers across email, voicemail, text, and web services — with aging infrastructure accumulating costly licensing and operational overhead.
Lead a team of 10+ engineers to ensure platform reliability at enterprise scale, drive lifecycle modernization, and identify strategic cost reduction opportunities without disrupting service continuity for millions of customers.
Spearheaded deployment of 400+ application installations and upgrades in collaboration with business units. Architected iOS and Android mobile applications and microservices-based middleware. Developed strategic migration plans to rationalize and consolidate legacy applications. Drove national objectives for strategic planning, deployment, and lifecycle maintenance of the 30M+ customer network.
Executed a migration strategy generating $1.2M in annual cost savings, maintained 99%+ platform availability across 27M+ mailboxes, and successfully served 30M+ customers with zero major service disruptions during the transition period.
A cross-functional technology portfolio spanning AI/ML platforms, cloud infrastructure, modern engineering practices, and compliance frameworks.
Key performance indicators extracted and inferred across 18+ years of engineering leadership.
18+ years of progressive engineering leadership across enterprise technology organizations.