Service Architecture Manager

Cradlepoint, Inc.; Dadri; On-site; INR 3,000,000 - 5,500,000; Full time

Job summary

Ericsson is seeking an AI & Cloud Architect to define the strategy for a global enterprise AI platform. Lead architecture for data ingestion, model training, evaluation, and agent orchestration across multi-region cloud environments.

Establish vector DB standards, graph and ontology design, and secure, compliant operations with MLOps governance. You will collaborate with engineering, product, and leadership to move from PoC to production, applying TOGAF-aligned practices and modern cloud-native

Qualifications

• 8-15 years of software/systems engineering experience.
• 4+ years as architect or principal engineer.
• Bachelor's or Master’s in CS/Software Engineering/AI/ML; advanced degree preferred.
• Proven production delivery of large-scale AI/ML systems.

Responsibilities

• Own architecture for data ingestion, feature stores, model training, inference, retrieval, graph context, and agent orchestration.
• Define reusable reference architectures for LLM, RAG, and multi-agent solutions.
• Lead architecture reviews, ADRs, technology radar updates, and build-versus-buy decisions.
• Design multi-region ML inference on AWS, Azure, and/or GCP, including GPU scaling, versioning, and safe deployments.
• Govern MLOps for versioning, registries, validation, retraining, and release promotion.
• Set patterns for self-hosted models using vLLM/TGI/Triton and secure API gateways.
• Govern model selection, fine-tuning, quantisation, batching, latency, accuracy, cost, security, and data residency.
• Establish vector database standards using Pinecone, pgvector, Weaviate, Milvus, or equivalent, including embeddings and hybrid search.
• Design property-graph and RDF/ontology using Neo4j, Neptune, Cypher, or SPARQL.
• Architect agent memory, tools, guardrails, escalation, recovery, evaluation, and golden datasets; integrate with OSS/BSS, APIs, and event streams.
• Set standards for IAM, network security, PII redaction, audit logging, GDPR/AI Act, OpenTelemetry, SRE, and GPU FinOps.

Skills

Python

PySpark

Spark

SQL

Kafka

Flink

Delta Lake

Iceberg

Terraform

Pulumi

Kubeflow

MLflow

Weights & Biases

LangGraph

AutoGen

CrewAI

Semantic Kernel

OpenTelemetry

Prometheus

Grafana

Security

Compliance

Observability

Reliability

Education

Bachelor's degree in Computer Science

Master's degree in CS/Software Engineering/AI/ML

Tools

AWS

Azure

GCP

Job description

About the opportunity

Ericsson s Service Architecture team, within Service Management in the Operate Service Line, seeks an AI & Cloud Architect to define the strategy for an enterprise AI platform at global telecom scale. You will shape secure, reliable cloud-native capabilities that automate and augment managed service operations across ML/LLM platforms, MLOps, vector databases, knowledge graphs, RAG, and Agentic AI. As technical authority, you will connect engineering, product, enterprise architecture, and senior leadership, guiding teams from PoC to production using TOGAF-aligned practices.

What you will do

• Own architecture for data ingestion, feature stores, model training, inference, retrieval, graph context, and agent orchestration.
• Define reusable reference architectures for LLM, RAG, and multi-agent solutions.
• Lead architecture reviews, ADRs, technology radar updates, and build-versus-buy decisions.
• Design multi-region ML inference on AWS, Azure, and/or GCP, including GPU scaling, versioning, and safe deployments.
• Govern MLOps for versioning, registries, validation, retraining, and release promotion.
• Set patterns for self-hosted models using vLLM/TGI/Triton and commercial models through secure API gateways.
• Govern model selection, fine-tuning, quantisation, batching, latency, accuracy, cost, security, and data residency.
• Establish vector database standards using Pinecone, pgvector, Weaviate, Milvus, or equivalent, including embeddings, hybrid search, re-ranking, privacy, and index lifecycle.
• Design property-graph and RDF/ontology architecture using Neo4j, Neptune, Cypher, or SPARQL for graph-enhanced reasoning.
• Architect agent memory, tools, guardrails, human escalation, recovery, evaluation, and golden datasets; integrate agents with OSS/BSS, APIs, and event streams.
• Set standards for IAM, network security, PII redaction, audit logging, GDPR/AI Act, OpenTelemetry, SRE, and GPU FinOps.

You will bring

• 8-15 years of software/systems engineering experience, including 4+ years as an architect or principal engineer.
• Bachelor s/master s degree in computer science, Software Engineering, AI/ML, or equivalent; advanced degree preferred.
• Proven production delivery of large-scale AI/ML systems with vector retrieval, knowledge graphs, and Agentic AI/LLM systems using open-source and licensed models.
• Strong cloud-native experience on AWS, Azure, or GCP; multi-cloud is an advantage.
• TOGAF Foundation/Practitioner or equivalent enterprise architecture practice.
• Expert Python and proficient PySpark; experience with Spark, SQL, Kafka/Flink, Delta Lake/Iceberg, and distributed ML.
• Knowledge of supervised, unsupervised, deep learning, reinforcement learning, and sequence/time-series models, including validation and bias assessment.
• Experience with Terraform/Pulumi, Kubeflow, MLflow, Weights & Biases, LangGraph / AutoGen / CrewAI / Semantic Kernel, OpenTelemetry, Prometheus, and Grafana.
• Strong security, compliance, observability, and reliability skills.

All academic credentials must be from recognized and accredited institutions and are further subject to verification.

Why join Ericsson

At Ericsson, you ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what s possible. To build solutions never seen before to some of the world s toughest problems. You ll be challenged, but you won t be alone. You ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, thats why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer.

India (IN) || Noida