Senior Network Automation Engineer - AI/ML

Job Title: Senior Network Automation Engineer - AI/ML, AIOps & Network Operations

Location: Jersey City, NJ / Charlotte, NC / Chandler, AZ

Duration: Contract - 12 months

Pay Range:

NJ2-101-08-01,Jersey City- $104.62 (Pay Rate: $73.67) -Preferred location

NC1-025-05-03, Charlotte -$99.73 (Pay Rate: $70.23)-preferred location

AZ1-805-03-80, Chandler- $99.73 (Pay Rate: $70.23)

Job ID: 411704

About BCforward

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description

We are seeking a Senior Network Automation Engineer - AI/ML, AIOps & Network Operations to join our dynamic team. The ideal candidate will have strong experience in Python-based backend development, network automation, telemetry integration, and applied AI/ML for operations and a proven ability to deliver safe, reliable automation and AI-assisted troubleshooting in production environments.

Responsibilities:

• Design and develop network automation services for event correlation, intelligent troubleshooting, and automated remediation.


• Build automation that supports self-healing use cases with automated checks, safe remediation actions, and guided recovery steps.


• Develop backend automation services using Python and Django with supporting data stores such as Redis for state and caching.


• Integrate automation with monitoring, telemetry, and alerting systems to consume events and metrics in near real time.


• Partner with Network Operations to identify repeatable operational patterns suitable for automation.


• Collaborate with Monitoring and Telemetry engineers to ensure automation logic is driven by reliable data signals.


• Implement guardrails, validation, and rollback logic to ensure safe production usage.


• Contribute to testing, versioning, deployment, and operational support for automation services.


• Provide production support and troubleshooting for automation services.


• Document designs, runbooks, and usage guidelines for Operations teams.


• Design and productionize ML solutions for anomaly detection, event correlation, incident classification, root-cause analysis, forecasting, and predictive maintenance.


• Engineer and curate telemetry datasets, perform feature engineering, labeling, data quality validation, and model-ready transformations across metrics, logs, events, traces, and topology.


• Develop AI-assisted troubleshooting using LLMs, RAG, embeddings, and enterprise knowledge sources with human oversight and deterministic controls.


• Build and maintain MLOps pipelines for experiment tracking, validation, versioning, deployment, monitoring, retraining, and rollback.


• Evaluate models using precision, recall, false-positive reduction, resolution accuracy, latency, reliability, and operational adoption.


• Implement responsible AI controls including explainability, privacy, security, bias assessment, auditability, access control, drift monitoring, and safe fallback behavior.


• Create APIs and reusable services that integrate AI/ML inference with event management, observability, orchestration, and ITSM platforms.

Required Skills & Qualifications:

• Strong software development experience in Python, including REST APIs, message queues, or workflow engines.


• Experience building backend services using Django or similar frameworks.


• Hands-on experience with Redis or equivalent in-memory data stores.


• Solid understanding of enterprise networking including routing, switching, wireless, and SD-WAN concepts.


• Experience integrating automation with monitoring, alerting, or telemetry systems.


• Ability to design automation for reliability and safety in production environments.


• Experience operating in high availability, failure-sensitive environments.


• Strong communication and collaboration with engineering and operations teams.


• Education: Bachelor's or Master's in Computer Science, Engineering, or related field.


• Experience: 8-12 years in network engineering, operations, automation, telemetry, monitoring, data engineering, or applied analytics with production AI/ML delivery.

Preferred Skills:

• Experience with event correlation, rule-based automation, or decision workflows.


• Familiarity with observability data, including metrics, logs, and events, as automation inputs.


• Exposure to Infrastructure as Code and CI/CD practices.


• Understanding of IT service management and incident workflows.


• AIOps experience in network assurance, observability, incident reduction, or autonomous operations.


• Experience with cloud AI/ML services, GPU workloads, or enterprise model platforms.


• Familiarity with graph analytics or knowledge graphs for topology-aware correlation and root-cause analysis.


• Experience designing evaluation datasets, offline and online tests, and operational acceptance criteria for AI-assisted automation.


• Hands-on ML stack: pandas, NumPy, scikit-learn, and PyTorch or TensorFlow. Familiarity with Jupyter, MLflow or similar, containers, Kubernetes, and CI/CD. Experience with vector databases or enterprise search, and frameworks such as LangChain or Semantic Kernel.

Role Logistics & Notes:

• Approved sites and W2 rates: NJ2-101-08-01, Jersey City, NJ ($104.63/hr, preferred); NC1-025-05-03, Charlotte, NC ($99.74/hr, preferred); AZ1-805-03-80, Chandler, AZ ($99.74/hr).


• Hybrid schedule with a minimum of 3 days onsite per week.


• Start month: As soon as a candidate is identified.


• Interview process: 1-2 rounds. Video required. In-person required. Glider ID verification.


• Contract-to-hire potential. Candidates must not require sponsorship now or in the future.


• On resume: include current location, relocation plan, availability/start date, and cooling-off requirement if applicable.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

• Competitive compensation and benefits.


• Opportunities for growth with global clients.


• A supportive, inclusive culture that values innovation and people.


• Exposure to cutting-edge technologies and projects.

About Our Commitment

BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume.