Project Role: Solution Architect

Project Role Description: Translate client requirements into differentiated, deliverable solutions using in-depth knowledge of a technology, function, or platform. Collaborate with the Sales Pursuit and Delivery Teams to develop a winnable and deliverable solution that underpins the client value proposition and business case.

Must have skills: AI & Data Solution Architecture

Good to have skills: NA

Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

Full Stack Cognitive Systems Engineer:

• Job Title: Full Stack AI/ML Engineer
• Cognitive Platform
  We're looking for a visionary Full Stack Engineers with at least 6+ years of hands-on experience in building cognitive, AI/ML-driven platforms across on-prem HCIs, private cloud, and public cloud stacks, to work on business-critical client environments. The role requires strong architectural solutioning skills, statistical and analytical depth, and proven experience delivering end-to-end production AI systems, including time-series forecasting, recommendation engines, clustering, NLP, and deep learning solutions. The focus is to manage client technology landscapes, drive cross-technology migrations and modernization, handle technology crisis management, and add measurable business value through innovation while addressing complex technical challenges faced by enterprise clients.

Roles & Responsibilities:

Architect and deliver end-to-end AI/ML solutions, covering problem formulation, statistical modeling, feature engineering, model development, evaluation, and production deployment, with ownership across the full lifecycle.
Apply strong statistical foundations (probability, hypothesis testing, regression, time-series analysis) to design robust, explainable, and reliable ML systems.
Design and implement knowledge-driven architectures, including knowledge graphs, ,entity relationship modeling, and semantic layers and decision intelligence.
Build and productionize time-series forecasting systems, recommendation engines, clustering and segmentation models, anomaly detection pipelines, NLP, and deep learning solutions for enterprise use cases.
Implement and maintain MLOps practices, including CI/CD for ML, model versioning, monitoring, drift detection, retraining strategies, scalable inference, and governance.
Collaborate with architects and platform teams to perform architectural solutioning, translating business and data problems into scalable, resilient, cloud-native system designs.
Design, develop, and maintain end-to-end cognitive HCIs, Private cloud integrating intelligence into traditional web stacks.
Develop and manage full stack infrastructure platforms including backend services (APIs, microservices) and API gateway for frontend and backend services.
Understand the impact of GPU based computing and have experience in deploying High Performance Computing environments
AWS Outpost, Azure Stack, Google cloud VPC Certified and implementation knowledge.
Tanzu, Red Hat Openshift cluster deployment on Private cloud Deisgn, Deploy and Maintain.
Develop cloud-native back-end services using Node.js, Python (FastAPI, Flask), or Java to connect AI models with application logic.
Integrate AI/ML models (Tensor Flow, Py Torch, scikit-learn) into production-ready APIs and microservices.
Write efficient, maintainable code and manage integration between front-end interfaces and back-end infrastructure services.
Collaborate with product, design, ML, and DevOps teams to build intelligent workflows and user experiences
Implement Infrastructure as Code (IaC) using tools like Terraform, CloudFormation, AZURE DEV OPS or Pulumi or GCP .
Deploy and manage Platform-as-a-Service (PaaS) offerings.
Design, implement, and maintain database solutions, including relational databases (e.g., MySQL, PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, DynamoDB)
Collaborate with DevOps, security, and development teams to ensure seamless integration and delivery.
Ensure platform observability via metrics, logging, and monitoring frameworks (e.g., Prometheus, ELK, CloudWatch).
Manage containerization and orchestration using Docker and Kubernetes.
Ensure compliance with security best practices and organizational policies.
Continuously evaluate and implement new cloud technologies and tools to improve efficiency.
Provide technical guidance and support to team members and stakeholders.
Integrate and support AI-driven tools and frameworks, including Generative AI and Agentic AI technologies, within cloud infrastructure and applications.
Telecom domain expertise:
Strong understanding of mobile network technologies, including 2G, 3G, 4G, and 5G architectures, RAN protocols, and radio propagation principles.
Mandatory expertise in radio network planning and design concepts and methodologies.
Hands on experience with OSS platforms from major OEMs such as Ericsson, Nokia, and Huawei, with expert level knowledge of RAN/Core OSS KPIs and practical exposure to KPI optimization.
Experience in customer experience management within telecom networks, including understanding of multiple data sources such as crowd-sourced data, drive test data, probe data, network traces, and strong capability to correlate these datasets for insights.
Knowledge of emerging telecom technologies, including Open RAN architecture, RIC (Near RT/Non RT), R Apps, x Apps, and understanding of their integration and impact on legacy network environments.
Strong understanding of OEM-specific radio network parameters, counters, and KPIs, along with knowledge of radio features and the latest 3GPP releases.
Experience with SON (Self Organizing Networks) modules from any Tier 1 OEM, including configuration, operation, and optimization of SON functionalities.

Professional and Technical Skills:

Systems Operatioms and Engineering RHEL and SUSE and OLE and/or Wimdows/Hperv and/or AIX/HPUX/Soalris
Hyper Converged Infrastructure and Private Cloud Vmware/ Hyper V/ KVM//Pacemaker / AHV /Open Stack / Scale Computing / Nvidia Omniverse

• Infrastructure as a Code & Scripting Terraform or Ansible
• Shell Scripting and Python, Pwer Shell, Power CLi
  Public Cloud IaaS and Associated PaaS AWS / Azure/ GCP - S3, Blobs, VPCs, v Net, LBs Cloud Watch, Stack Driver, Azure Mon
  Cloud Native and Containers PODMAN, Docker Openshift and AKS and GKE and EKE
• Database Systems (RDBMS, No SQl and Cloud DB) Orcle and MS SQL or My

SQL and Mongo or Couch:

• Cloud DB (Redis or Aurora, Sql online
  Midleware (Web Servers, Message Qs, Managed Apps, MFT, Job Schedulers IIS, Apache, JBOSS, Web Sphere/ Web Logic MFTs, MQ Series, Control M or Autosys or TWS and MTFs
  Observability & Environment Health observability tools (Nagios /Solar Winds/Netcool, Prometheus, ELK) and Environment Health and Capacity Management and Tech Debt and Fin Ops
  Enterprise AI Agentic AI Framework (CrewAI, Lang Graph, Auto Gen) and Responsible AI Concepts and AI Guardrails

Additional Information: (Required / Preferred):
Systems Operatioms and Engineering Professional
VMware Certified Cloud Expert -the VMware Certified Professional VMware Cloud (VCP VMC) 2022
RHCE ( Red Hat Certified Engineer)
Nvdia Certified Engineer / Nvidia Certified Associate
Microsoft Certified: Azure Solutions Architect Expert
Google Professional Cloud Architect
Certified Kubernetes Administrator (CKA)
Hashi Corp Certified: Terraform Associate
Certified DevOps Engineer certifications (AWS, Azure, or Google)

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

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